The problems of field-normalization of bibliometric data and comparison among research institutions: Recent Developments
|
|
- Candace Chandler
- 6 years ago
- Views:
Transcription
1 The problems of field-normalization of bibliometric data and comparison among research institutions: Recent Developments Domenico MAISANO
2 Evaluating research output 1. scientific publications (e.g. journal papers, conference proceedings, book chapters, monographs, etc ) addressed to the scientific community; 2. technology transfer applications (e.g. patents, university spin-offs, consulting services etc ) addressed to the industry and the whole socio-economic system; 3. specialized courses and research seminars, popularization of science; D. Maisano The problems of field-normalization of bibliometric data, 12 th March
3 Several objects of evaluation Groups of scientific publications concerning: single scientists (competitive examinations for research position/promotion or funding at universities); groups of scientists (e.g. of the same dept., school/faculty, university or research institution); scientific journals. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
4 Why journals? For (at least) two fundamental reasons: supporting subscription and selection decisions of librarians; helping an author to see more clearly the characteristics of the showcases (journals) in which the products (papers) of his/her work have been (or will be) exposed. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
5 Typical approaches The ideal solution is probably given by Peer Review committees. - However, it is not always objective and transparent; - Also, it is not practicable in case of large-scale evaluations (i.e., concerning hundreds or even thousands of articles). Citation Analysis is now used in almost (all) nations around the globe with a sizeable science enterprise. - It has been known for more than one century; - A citation index for science was first described in 1955 by Eugene Garfield; - Important and continuous growth in the last 25 years (evolution of database systems, Internet, etc.) D. Maisano The problems of field-normalization of bibliometric data, 12 th March
6 (a) What exactly are citations? (b) P 2 (c 2, r 2 ) P 5 (c 5, r 5 ) P 9 (c 9, r 9 ) P 1 (c 1, r 1 ) P 4 (c 4, r 4 ) P 8 (c 8, r 8 ) P 11 (c 11,r 11 ) P 7 (c 7, r 7 ) c i i-th paper r i P i (c i, r i ) P 3 (c 3, r 3 ) P 6 (c 6, r 6 ) P 10 (c 10,r 10 ) (P i ) (c) Fig. 1. (a) Representation of the scientific literature by a graph. (b) Nodes represent scientific papers while arcs represent mutual citations. (c) Regarding the i-th paper (P i ), c i denotes the total citations received (incoming arrows), while r i denotes the total citations made or references (outgoing arrows). P C = c = R = r i i = 1 i = 1 D. Maisano The problems of field-normalization of bibliometric data, 12 th March P i P P 1 1 c = c = r = r P i i = 1 P i = 1 i
7 Bibliometric Indicators They generally concern: - scientific journals; - single researchers; - groups of researchers (depts., scientific disciplinary sectors, universities, etc.). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
8 Typical analysis dimensions Productivity; Impact/Diffusion; Regularity; Affinities between documents; Co-authors networks; D. Maisano The problems of field-normalization of bibliometric data, 12 th March
9 Brief excursus of most popular Indicators 1) P total number of publications indicator of productivity 2) C total number of citations received indicator of overall impact/diffusion 3) CPP (=C /P ) citations per paper indicator of average impact/diffusion 3.1) Impact Factor 3.2) Immediacy Index D. Maisano The problems of field-normalization of bibliometric data, 12 th March
10 CPP: variations on a theme (1) 3.1) (Journal) Impact Factor (JIF ) Ref. year = 2003 A specific time-window B=70 articles published during the two preceding years (i.e., 2001 and 2002). A=81 number of times these articles were cited by indexed journals during JIF = A/B = 81/70 = 1.16 Garfield (1972) showed that this 2-year citation time-window is wide enough to include a significant number of citations and dynamic enough to measure the evolution of scientific journals D. Maisano The problems of field-normalization of bibliometric data, 12 th March
11 CPP: variations on a theme (2) 3.2) Immediacy Index (II ) In a given year, II of a journal is the average number of citations to those papers that were published during the same year. The journal Immediacy Index is a measure of how quickly the average article in a journal is cited. Example: Ref. year = 2003 B=30 articles published during A=11 number of times these articles were cited by indexed journals during II = A/B = 11/30 = 0.37 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
12 4) Hirsch (h) index h is defined as the number such that, for a general group of papers, h papers received at least h citations while the other papers received no more than h citations (Hirsch, 2005). citations for each rank publication h-core 2 dimensions: publications productivity citations diffusion/impact D. Maisano The problems of field-normalization of bibliometric data, 12 th March
13 Something on the h-index scale of measurement h is a Ν number defined over an ordinal scale with only equivalence and ordering properties. The distance, in terms of average effort between two consecutive classes is gradually increasing: h N D. Maisano The problems of field-normalization of bibliometric data, 12 th March
14 The h-index does not allow compositions Author (a) Author (b) Author (a) + (b) paper id c i rank h-core paper id c i rank h-core paper id c i rank h-core A 7 1 E 18 1 E 18 1 B 5 2 F 16 2 F 16 2 C 5 3 G 8 8 G 8 3 D 3 4 H 6 9 A 7 4 I 1 10 H 6 5 h=3 B 5 6 h=4 C 5 7 D 3 8 I 1 9 h=5 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
15 5) Indicators considering the reputation of citations According to the indicators seen before, a citation has exactly the same prestige of another. Other more complex indicators weigh citations depending on the impact of the citing papers: a paper is important if it is endorsed by important papers. PageRank-inspired indicators websites links scientific papers citations D. Maisano The problems of field-normalization of bibliometric data, 12 th March
16 Simplifying hypotheses for the previous indicators Role of citation. Self citations. Co-authorship. Citation importance. Article types. Same scientific field. Database reliability. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
17 The need for normalization Journals with different productivity (P ); Scientists with different seniority (Y ); Research institutions with different staff No. (N ); Papers with a different number of (co-)authors (A ); Articles from (sub-)fields with different citation propensity. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
18 The problem of field-normalization All the previous indicators must regard a set of papers within the same field/discipline. Different scientific fields may have: 1. different propensities to the practice of citation (citation rates); 2. differences of maturing of citation impact (citation accumulation). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
19 Average citations of papers issued in 2000 c 49 c 13 7 c c 19 Warning: do not compare apples with oranges! D. Maisano The problems of field-normalization of bibliometric data, 12 th March
20 Field-based groups of papers discipline 1 1, 1 discipline 2 c r c 2, r2 in general c d r d On the average: more references discipline 3 more citations received (and vice-versa) c, r 3 3 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
21 A common feature of field-normalized indicators A common feature of field-normalized indicators is that they are based on the comparison between: (1) the amount of citations received by a group of publications examined, (2) a comparison term (CT ) given by the expected number of the citations received/made by analogous publications in the specific discipline(s) of interest. CT should represent the citation propensity of the publications of interest. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
22 How to determine CT? 1 st issue: selection of a reference sample of publications with similar citation propensity. e.g., same journal, superimposed classifications, neighborhood 2 nd issue: use an indicator based on references or citations received. 3 rd issue: choice of the central tendency indicator. e.g., mean, median, harmonic mean, etc D. Maisano The problems of field-normalization of bibliometric data, 12 th March
23 Sample selection: an unstable balance point! goodness of estimation Low representativeness confusion among different (sub-)fields sample size D. Maisano The problems of field-normalization of bibliometric data, 12 th March
24 CTs for some popular field-normalized indicators 1 st issue: 2 nd issue: 3 rd issue: Sample selection technique Refs or Cites? Central Tendency Indicator MNCS (Waltman et al., 2010) Classification dependent Cites Mean value Fractional Citation Counting (Leydesdorff & Opthof, 2010) Neighborhood (citing papers) Refs Harmonic Mean (of the references) Audience Factor (Zitt & Small, 2008) Neighborhood (journals of citing papers) Refs Harmonic mean (of the average references) SNIP (Moed, 2009) Neighborhood Refs Mean value Secondary aspects: (1) size of the time-window for counting the citations received (or made) by the publications examined, (2) the way of determining the neighbourhood of a publication, etc D. Maisano The problems of field-normalization of bibliometric data, 12 th March
25 Some popular field-normalized indicators Mean Normalized Citation Score (MNCS alias New Crown Indicator) MNCS 1 P c = i P e i= 1 i being: P the publications of interest, denoted by i =1,, P ; c i the number of citations of publication i ; e i the expected number of citations of publication i given the field in which publication i has been published. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
26 MNCS (New Crown Indicator) Mech. Eng. e 1 = CPP Mech.Eng. c 1 =2 J1 J2 J3 =1.2 Ind. Eng. MNCS 1 = P ci P e i= 1 i c 1 =1 J4 J5 e 1 = CPP Ind. Eng. = = = 1.17 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
27 Some popular field-normalized indicators Overlappings are very frequent! D. Maisano The problems of field-normalization of bibliometric data, 12 th March
28 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
29 Some popular field-normalized indicators Indicators based on Fractional Citation Counting (FCC) FCC being: FCC i field-normalized indicator relating to a (i-th) publication of interest (i =1,, P ); j order number of a citation (j =1,, m ); r i,j HM i m 1 m = = = = 1, m j ri j 1 m / j= 1 ri, j m HM citations made (i.e., references) by the j-th citing document; harmonic mean of the r i,j values relating the i-th publication. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
30 FCC (Indicator based on Fractional Citation Counting) publications of interest (and corresponding cites): c 1 = 3 citing publications (and corresponding refs): 1-st citing paper 2-nd citing paper r 1 = 5 r 2 = 7 Fractional contribution: 1/5 1/7 1/6 3-rd citing paper r 3 = 6 c 2 = 4 1-st citing paper r 4 = 3 2-nd citing paper r 4 = 3 3-rd citing paper r 5 = 4 1/3 1/3 1/4 1/8 4-th citing paper r 6 = 8 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
31 Some popular field-normalized indicators Indicators based on Fractional Citation Counting Normalization of citations received is performed before joining them by an aggregated indicator (a priori normalization). This technique is adaptive since the CT is calculated considering the neighborhood of the publication(s) of interest. (typically consisting of the set of publications citing or being cited by them). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
32 Some popular field-normalized indicators SNIP (Source Normalized Impact per Paper) publications of interest (and corresponding cites): c 1 = 3 citing publications (and corresponding refs): 1-st citing paper 2-nd citing paper r 1 = 5 r 2 = 7 3-rd citing paper r 3 = 6 c 2 = 4 4-th citing paper r 4 = 3 5-th citing paper r 5 = 4 6-th citing paper r 6 = 8 c 3 = 2 7-th citing paper r 7 = 5 - Applicable to Journals - Implemented by SCOPUS RIP = Avg ( c i ) = 3 8-th citing paper r 8 = 7 RIP 3 SNIP = K = K = 0.53 K DCP 5.6 DCP = Avg( r j ) = 5.6 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
33 A common feature At the risk of oversimplifying, most of the previous field-normalized indicator can be expressed as: CPP /CT being: CPP citations per paper relating to a set of publications of interest CT a comparison term estimating the citation propensity of citing papers. Most of the previous indicators apply to homogeneous groups of articles i.e., from the same (sub-)field. Sometimes articles to be analyzed are heterogeneous! D. Maisano The problems of field-normalization of bibliometric data, 12 th March
34 Success-index Requisites: Simplicity and immediacy of meaning (likewise h-index); Applies to groups of heterogeneous papers (in terms of citation propensity). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
35 Basic principle of Success-index The growth of impact/diffusion of a paper (tree) soil (literature: refs) crop (citations) D. Maisano The problems of field-normalization of bibliometric data, 12 th March
36 The expected crop (CT ) will depend on the type of tree (discipline). CT(Oranges) CT(Bananas) CT(Lemons) D. Maisano The problems of field-normalization of bibliometric data, 12 th March
37 Trees: A successful tree (paper) will produce more fruit than expected (CT ). Tree 1 (O) Tree 4 (B) Tree 2 (O) Tree 5 (B) Tree 3 (L) Tree 6 (O) CTs: CT(Oranges): CT(Bananas): CT(Lemons): D. Maisano The problems of field-normalization of bibliometric data, 12 th March
38 Example paper id c i CT i success-core A 7 4 B 7 5 C 6 6 D 4 3 E 3 5 F 2 5 G 1 4 success-index=3 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
39 Philosophy of Success-index Developed by an intuition of Kosmulski (2011), Success-index makes it possible to isolate a subset of publications, defined as successful papers, among a group of publications examined e.g., those associated to a scientist or a journal. The (non) success-state of a paper is relative to the citation propensity of homologous papers. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
40 How to determine CT i terms? CT i is an estimate of the number of citations that a i th publication, in a certain scientific context and period of time, should potentially achieve. (I) (II) It is given by the mean/median number of citations made/received by articles close to the publication of interest. (III) D. Maisano The problems of field-normalization of bibliometric data, 12 th March
41 How to determine CT i terms? goodness of estimation Low representativeneness confusion among different (sub-)fields sample size D. Maisano The problems of field-normalization of bibliometric data, 12 th March
42 1 st Example: 2 scientists from different disciplines A Chemist VS a Computer Scientist For simplicity and practicality, CT will be calculated as the median number of references made by the articles published by the same journal and year of the i-th publication concerned. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
43 1 st Example: 2 scientists from different disciplines S1 (anonymous Chemist) S2 (anonymous Computer Scientist) Paper No. Year c i CT i success-core Paper No. Year c i CT i success-core P= Total - C=833 - h-index= Mean Median success-index= St.dev P= Total - C=416 - h-index=13 Mean Median success-index=7 St.dev D. Maisano The problems of field-normalization of bibliometric data, 12 th March
44 Important properties of Success-index Scale type h N effort Success N D. Maisano The problems of field-normalization of bibliometric data, 12 th March
45 Important properties of Success-index Composition of publication portfolios The success-state of a paper originates from its (1) received citations and (2) specific CT. it does not depend on the other publications statistics. Thanks to the ratio property of the scale, it is possible to aggregate blocks of publications (even from several sub-fields). E.g., papers from different journals, years, scientists, departments, etc.. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
46 Important properties of Success-index Composition of publication portfolios Author (a) Author (b) Author (a) + (b) paper id ci rank h-core = ( ɶ ) CTi r successcore i i JY CT i i r successcore i core JY CT r success- JY A E E B F F C G G D H A I H h=3 Success-index=2 B h=4 Success-index=5 C D I paper id ci rank h-core = ( ɶ ) paper id ci rank h-core = ( ɶ ) h=5 Success-index=7 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
47 Practical implications Considering the same capacity of producing successful papers, it is expected that the Success-index should increase proportionally with the (different types of) resources used. Very versatile for different types of normalizations: Resources N (staff No.) Y (years of activity) P (No. of papers of a journal) I (unit of investment) Normalization Success/N Success/Y Success/P Success/I D. Maisano The problems of field-normalization of bibliometric data, 12 th March
48 A (potential) drawback of the Success-index Excess citations are not taken into account. Condition 1 paper id c i CT i success-core A 7 4 B 7 5 C 6 6 D 4 3 E 3 5 F 2 5 G 1 4 success-index=3 Condition 2 paper id c i CT i success-core A B C 6 6 D 4 3 E 3 5 F 2 5 G 1 4 success-index=3 However, a partial patch to fix this issue is to use variable CTs (sensitivity analysis). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
49 Example of sensitivity analysis Goal: comparison between two publication portfolios (A and B) CT calculation approach: CT i terms relating to individual papers are determined considering the distribution of the references made by the articles published by the same journal and year of the i-th publication concerned. Sensitivity analysis: apart from the median (5 th decile), additional CTs are introduced with reference to other points of the distribution (e.g., 4 th and 6 th decile). 0 (4 th decile) CT L ( ) 2 0 median (5 th decile) CT( ) = rɶ ( ) M JY i (6 th decile) CT H ( ) D. Maisano The problems of field-normalization of bibliometric data, 12 th March
50 How to deal with multiple CTs? Success index Portfolio A Portfolio B CT (L) CT (M) CT (H) (threshold) severity D. Maisano The problems of field-normalization of bibliometric data, 12 th March
51 2 nd Example: groups of scientists in the same field Comparison among four groups of scientists from four different Italian Universities, within the same disciplinary sector (SSD). Analysis of their overall scientific production over the period from 2006 to Let s start with 2006: 2006 Univ. N P C CPP h A B C D Citation statistics were retrieved from SCOPUS D. Maisano The problems of field-normalization of bibliometric data, 12 th March
52 2 nd Example: groups of scientists in the same field For each article, a CT is calculated following an approach inspired by Moed s DCP. Next, Success-indices concerning each group are calculated: 2006 Univ. N P C CPP h A B C D Success-index D. Maisano The problems of field-normalization of bibliometric data, 12 th March
53 Results concerning 2006 Success (in 2006) Success / N (in 2006) (Success-index per capita) A B C D A B C D D. Maisano The problems of field-normalization of bibliometric data, 12 th March
54 Analysis in the whole 2006-to-2008 period Results relating to individual years can be aggregated together (property of composition) in order to calculate the Success-indices with respect to the whole 2006-to-2008 period. Success-indices in 2006 Success-indices in 2007 Success-indices in the whole 2006-to-2008 period Success-indices in 2008 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
55 Composition Success Success / N (Success-index per capita) A B C D 0.0 A B C D 2006 to D. Maisano The problems of field-normalization of bibliometric data, 12 th March
56 Analysis in the whole 2006-to-2008 period Comparison among four groups of researchers within the same disciplinary sector (SSD) from different Italian universities over the whole period from 2006 to 2008: 2006 to 2008 Univ. N P C CPP h A B C D Success-index D. Maisano The problems of field-normalization of bibliometric data, 12 th March
57 Results concerning the 2006-to-2008 period Success (2006 to 2008) Success / N (2006 to 2008) (Success-index per capita) A B C D A B C D D. Maisano The problems of field-normalization of bibliometric data, 12 th March
58 What about CT distributions? Statistics relating to the CT distributions in the whole 2006-to period: 2006 to 2008 Univ. Mean Median St.Dev. IQR A B C D D. Maisano The problems of field-normalization of bibliometric data, 12 th March
59 3 rd Example: university depts. within different fields Comparison among two university departments of PoliTo, within different disciplines. Analysis of their overall scientific production over the period from 2006 to Let s start with 2007: 2007 Dept. N P C CPP h D D Citation statistics were retrieved from SCOPUS D. Maisano The problems of field-normalization of bibliometric data, 12 th March
60 3 rd Example: university depts. within different fields For each article, a CT is calculated following an approach inspired by Moed s DCP. Next, Success-indices concerning each department are calculated: 2007 Dept. N P C CPP h D D Success-index D. Maisano The problems of field-normalization of bibliometric data, 12 th March
61 What about CT distributions? Statistics relating to the CT distributions in 2007: 2007 Dept. Mean Median St.Dev. IQR D D % CT distribution in % 20% D1 D2 10% 0% D. Maisano The problems of field-normalization of bibliometric data, 12 th March
62 Results concerning 2007 Success (in 2007) Success / N (in 2007) (Success-index per capita) D1 D2 0 D1 D2 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
63 Results concerning the 2006-to-2008 period Success (2006 to 2008) Success / N (2006 to 2008) (Success-index per capita) D1 D2 0 D1 D2 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
64 4 th Example: academic institutions Comparison among three Italian Universities. Analysis of their overall scientific production over the period from 2006 to Let s start with 2006: 2006 Univ. N P C CPP h U U U Citation statistics were retrieved from SCOPUS D. Maisano The problems of field-normalization of bibliometric data, 12 th March
65 4 rd Example: academic institutions For each article, a CT are calculated following an approach inspired by Moed s DCP. Next, Success-indices concerning each group are calculated: 2006 Univ. N P C CPP h U U U Success-index D. Maisano The problems of field-normalization of bibliometric data, 12 th March
66 Results concerning Success (in 2006) Success / N (in 2006) (Success-index per capita) U1 U2 U3 0.0 U1 U2 U3 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
67 Results concerning the 2006-to-2008 period Success (2006 to 2008) Success / N (2006 to 2008) (Success-index per capita) U1 U2 U U1 U2 U3 D. Maisano The problems of field-normalization of bibliometric data, 12 th March
68 What about CT distributions? Statistics relating to the CT distributions in the whole 2006-to period: 2006 to 2008 Univ. Mean Median St.Dev. IQR U U U % 25% 20% 15% U1 U2 U3 10% 5% 0% D. Maisano The problems of field-normalization of bibliometric data, 12 th March
69 The rush to publish implicates more successful papers (?) 900 U P Success Year D. Maisano The problems of field-normalization of bibliometric data, 12 th March
70 Concluding remarks (1) Field normalization is often neglected. The problem of sub-field normalization when comparing scientific publications within the same field is even subtler and trickier. Field normalization is a sine-qua-non condition when evaluating multidisciplinary research institutions. In the Literature, most of the field-normalized indicators concern journals. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
71 Concluding remarks (2) Success-index is an indicator of immediate meaning, able to deal with multidisciplinary groups of papers. applicable to the publication output of entire research institutions. Also, it is very flexible so as to perform other kinds of normalization (e.g., by years of activity, staff No., etc.). D. Maisano The problems of field-normalization of bibliometric data, 12 th March
72 Open Issues A crucial point is the determination of CT i.e., estimator of the citing propensity within a specific (sub-)field. Probably, the best approaches are those based on the citation propensity of citing articles of a journal. An intense empirical study should be performed to evaluate how robust the possible estimation approaches are. D. Maisano The problems of field-normalization of bibliometric data, 12 th March
73 Thank you for your attention website: D. Maisano The problems of field-normalization of bibliometric data, 12 th March
INTRODUCTION TO SCIENTOMETRICS. Farzaneh Aminpour, PhD. Ministry of Health and Medical Education
INTRODUCTION TO SCIENTOMETRICS Farzaneh Aminpour, PhD. aminpour@behdasht.gov.ir Ministry of Health and Medical Education Workshop Objectives Scientometrics: Basics Citation Databases Scientometrics Indices
More informationBibliometric measures for research evaluation
Bibliometric measures for research evaluation Vincenzo Della Mea Dept. of Mathematics, Computer Science and Physics University of Udine http://www.dimi.uniud.it/dellamea/ Summary The scientific publication
More informationScopus. Advanced research tips and tricks. Massimiliano Bearzot Customer Consultant Elsevier
1 Scopus Advanced research tips and tricks Massimiliano Bearzot Customer Consultant Elsevier m.bearzot@elsevier.com October 12 th, Universitá degli Studi di Genova Agenda TITLE OF PRESENTATION 2 What content
More informationCitation analysis: Web of science, scopus. Masoud Mohammadi Golestan University of Medical Sciences Information Management and Research Network
Citation analysis: Web of science, scopus Masoud Mohammadi Golestan University of Medical Sciences Information Management and Research Network Citation Analysis Citation analysis is the study of the impact
More informationINTRODUCTION TO SCIENTOMETRICS. Farzaneh Aminpour, PhD. Ministry of Health and Medical Education
INTRODUCTION TO SCIENTOMETRICS Farzaneh Aminpour, PhD. aminpour@behdasht.gov.ir Ministry of Health and Medical Education Workshop Objectives Definitions & Concepts Importance & Applications Citation Databases
More informationThe journal relative impact: an indicator for journal assessment
Scientometrics (2011) 89:631 651 DOI 10.1007/s11192-011-0469-8 The journal relative impact: an indicator for journal assessment Elizabeth S. Vieira José A. N. F. Gomes Received: 30 March 2011 / Published
More informationBibliometric Rankings of Journals Based on the Thomson Reuters Citations Database
Instituto Complutense de Análisis Económico Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database Chia-Lin Chang Department of Applied Economics Department of Finance National
More informationA systematic empirical comparison of different approaches for normalizing citation impact indicators
A systematic empirical comparison of different approaches for normalizing citation impact indicators Ludo Waltman and Nees Jan van Eck Paper number CWTS Working Paper Series CWTS-WP-2013-001 Publication
More informationCited Publications 1 (ISI Indexed) (6 Apr 2012)
Cited Publications 1 (ISI Indexed) (6 Apr 2012) This newsletter covers some useful information about cited publications. It starts with an introduction to citation databases and usefulness of cited references.
More informationBIBLIOMETRIC REPORT. Bibliometric analysis of Mälardalen University. Final Report - updated. April 28 th, 2014
BIBLIOMETRIC REPORT Bibliometric analysis of Mälardalen University Final Report - updated April 28 th, 2014 Bibliometric analysis of Mälardalen University Report for Mälardalen University Per Nyström PhD,
More informationResearch Evaluation Metrics. Gali Halevi, MLS, PhD Chief Director Mount Sinai Health System Libraries Assistant Professor Department of Medicine
Research Evaluation Metrics Gali Halevi, MLS, PhD Chief Director Mount Sinai Health System Libraries Assistant Professor Department of Medicine Impact Factor (IF) = a measure of the frequency with which
More informationMeasuring Academic Impact
Measuring Academic Impact Eugene Garfield Svetla Baykoucheva White Memorial Chemistry Library sbaykouc@umd.edu The Science Citation Index (SCI) The SCI was created by Eugene Garfield in the early 60s.
More informationSCIENTOMETRICS AND RELEVANT BIBLIOGRAPHIC DATABASES IN THE FIELD OF AQUACULTURE
SCIENTOMETRICS AND RELEVANT BIBLIOGRAPHIC DATABASES IN THE FIELD OF AQUACULTURE I.V. Petrescu-Mag 1,2,3*, I.G. Oroian 1 1 University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Romania
More informationMEASURING EMERGING SCIENTIFIC IMPACT AND CURRENT RESEARCH TRENDS: A COMPARISON OF ALTMETRIC AND HOT PAPERS INDICATORS
MEASURING EMERGING SCIENTIFIC IMPACT AND CURRENT RESEARCH TRENDS: A COMPARISON OF ALTMETRIC AND HOT PAPERS INDICATORS DR. EVANGELIA A.E.C. LIPITAKIS evangelia.lipitakis@thomsonreuters.com BIBLIOMETRIE2014
More informationComplementary bibliometric analysis of the Educational Science (UV) research specialisation
April 28th, 2014 Complementary bibliometric analysis of the Educational Science (UV) research specialisation Per Nyström, librarian Mälardalen University Library per.nystrom@mdh.se +46 (0)21 101 637 Viktor
More informationComplementary bibliometric analysis of the Health and Welfare (HV) research specialisation
April 28th, 2014 Complementary bibliometric analysis of the Health and Welfare (HV) research specialisation Per Nyström, librarian Mälardalen University Library per.nystrom@mdh.se +46 (0)21 101 637 Viktor
More informationSEARCH about SCIENCE: databases, personal ID and evaluation
SEARCH about SCIENCE: databases, personal ID and evaluation Laura Garbolino Biblioteca Peano Dip. Matematica Università degli studi di Torino laura.garbolino@unito.it Talking about Web of Science, Scopus,
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 3, Issue 2, March 2014
Are Some Citations Better than Others? Measuring the Quality of Citations in Assessing Research Performance in Business and Management Evangelia A.E.C. Lipitakis, John C. Mingers Abstract The quality of
More informationSource normalized indicators of citation impact: An overview of different approaches and an empirical comparison
Source normalized indicators of citation impact: An overview of different approaches and an empirical comparison Ludo Waltman and Nees Jan van Eck Centre for Science and Technology Studies, Leiden University,
More informationWhat is bibliometrics?
Bibliometrics as a tool for research evaluation Olessia Kirtchik, senior researcher Research Laboratory for Science and Technology Studies, HSE ISSEK What is bibliometrics? statistical analysis of scientific
More informationTHE USE OF THOMSON REUTERS RESEARCH ANALYTIC RESOURCES IN ACADEMIC PERFORMANCE EVALUATION DR. EVANGELIA A.E.C. LIPITAKIS SEPTEMBER 2014
THE USE OF THOMSON REUTERS RESEARCH ANALYTIC RESOURCES IN ACADEMIC PERFORMANCE EVALUATION DR. EVANGELIA A.E.C. LIPITAKIS SEPTEMBER 2014 Agenda Academic Research Performance Evaluation & Bibliometric Analysis
More informationPercentile Rank and Author Superiority Indexes for Evaluating Individual Journal Articles and the Author's Overall Citation Performance
Percentile Rank and Author Superiority Indexes for Evaluating Individual Journal Articles and the Author's Overall Citation Performance A.I.Pudovkin E.Garfield The paper proposes two new indexes to quantify
More informationUNDERSTANDING JOURNAL METRICS
UNDERSTANDING JOURNAL METRICS How Editors Can Use Analytics to Support Journal Strategy Angela Richardson Marianne Kerr Wolters Kluwer Health TOPICS FOR TODAY S DISCUSSION Journal, Article & Author Level
More informationResearch Playing the impact game how to improve your visibility. Helmien van den Berg Economic and Management Sciences Library 7 th May 2013
Research Playing the impact game how to improve your visibility Helmien van den Berg Economic and Management Sciences Library 7 th May 2013 Research The situation universities are facing today has no precedent
More informationBibliometric glossary
Bibliometric glossary Bibliometric glossary Benchmarking The process of comparing an institution s, organization s or country s performance to best practices from others in its field, always taking into
More informationCitation analysis: State of the art, good practices, and future developments
Citation analysis: State of the art, good practices, and future developments Ludo Waltman Centre for Science and Technology Studies, Leiden University Bibliometrics & Research Assessment: A Symposium for
More informationOn the causes of subject-specific citation rates in Web of Science.
1 On the causes of subject-specific citation rates in Web of Science. Werner Marx 1 und Lutz Bornmann 2 1 Max Planck Institute for Solid State Research, Heisenbergstraβe 1, D-70569 Stuttgart, Germany.
More informationCitation & Journal Impact Analysis
Citation & Journal Impact Analysis Several University Library article databases may be used to gather citation data and journal impact factors. Find them at library.otago.ac.nz under Research. Citation
More informationInCites Indicators Handbook
InCites Indicators Handbook This Indicators Handbook is intended to provide an overview of the indicators available in the Benchmarking & Analytics services of InCites and the data used to calculate those
More informationEmbedding Librarians into the STEM Publication Process. Scientists and librarians both recognize the importance of peer-reviewed scholarly
Embedding Librarians into the STEM Publication Process Anne Rauh and Linda Galloway Introduction Scientists and librarians both recognize the importance of peer-reviewed scholarly literature to increase
More informationYour research footprint:
Your research footprint: tracking and enhancing scholarly impact Presenters: Marié Roux and Pieter du Plessis Authors: Lucia Schoombee (April 2014) and Marié Theron (March 2015) Outline Introduction Citations
More informationAn Introduction to Bibliometrics Ciarán Quinn
An Introduction to Bibliometrics Ciarán Quinn What are Bibliometrics? What are Altmetrics? Why are they important? How can you measure? What are the metrics? What resources are available to you? Subscribed
More informationWhat are Bibliometrics?
What are Bibliometrics? Bibliometrics are statistical measurements that allow us to compare attributes of published materials (typically journal articles) Research output Journal level Institution level
More informationCascading Citation Indexing in Action *
Cascading Citation Indexing in Action * T.Folias 1, D. Dervos 2, G.Evangelidis 1, N. Samaras 1 1 Dept. of Applied Informatics, University of Macedonia, Thessaloniki, Greece Tel: +30 2310891844, Fax: +30
More informationSCOPUS : BEST PRACTICES. Presented by Ozge Sertdemir
SCOPUS : BEST PRACTICES Presented by Ozge Sertdemir o.sertdemir@elsevier.com AGENDA o Scopus content o Why Use Scopus? o Who uses Scopus? 3 Facts and Figures - The largest abstract and citation database
More informationBibliometrics & Research Impact Measures
Bibliometrics & Research Impact Measures Show your Research Impact using Citation Analysis Christina Hwang August 15, 2016 AGENDA 1.Background 1.Author-level metrics 2.Journal-level metrics 3.Article/Data-level
More informationJournal Citation Reports Your gateway to find the most relevant and impactful journals. Subhasree A. Nag, PhD Solution consultant
Journal Citation Reports Your gateway to find the most relevant and impactful journals Subhasree A. Nag, PhD Solution consultant Speaker Profile Dr. Subhasree Nag is a solution consultant for the scientific
More informationImpact Factors: Scientific Assessment by Numbers
Impact Factors: Scientific Assessment by Numbers Nico Bruining, Erasmus MC, Impact Factors: Scientific Assessment by Numbers I have no disclosures Scientific Evaluation Parameters Since a couple of years
More informationUSING THE UNISA LIBRARY S RESOURCES FOR E- visibility and NRF RATING. Mr. A. Tshikotshi Unisa Library
USING THE UNISA LIBRARY S RESOURCES FOR E- visibility and NRF RATING Mr. A. Tshikotshi Unisa Library Presentation Outline 1. Outcomes 2. PL Duties 3.Databases and Tools 3.1. Scopus 3.2. Web of Science
More informationCorso di dottorato in Scienze Farmacologiche Information Literacy in Pharmacological Sciences 2018 WEB OF SCIENCE SCOPUS AUTHOR INDENTIFIERS
WEB OF SCIENCE SCOPUS AUTHOR INDENTIFIERS 4th June 2018 WEB OF SCIENCE AND SCOPUS are bibliographic databases multidisciplinary databases citation databases CITATION DATABASES contain bibliographic records
More informationComprehensive Citation Index for Research Networks
This article has been accepted for publication in a future issue of this ournal, but has not been fully edited. Content may change prior to final publication. Comprehensive Citation Inde for Research Networks
More informationTowards a Stratified Learning Approach to Predict Future Citation Counts
Towards a Stratified Learning Approach to Predict Future Citation Counts Tanmoy Chakraborty Google India PhD Fellow IIT Kharagpur, India Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee Dept.
More informationAlphabetical co-authorship in the social sciences and humanities: evidence from a comprehensive local database 1
València, 14 16 September 2016 Proceedings of the 21 st International Conference on Science and Technology Indicators València (Spain) September 14-16, 2016 DOI: http://dx.doi.org/10.4995/sti2016.2016.xxxx
More informationScientometrics & Altmetrics
www.know- center.at Scientometrics & Altmetrics Dr. Peter Kraker VU Science 2.0, 20.11.2014 funded within the Austrian Competence Center Programme Why Metrics? 2 One of the diseases of this age is the
More informationAnalysis of the Hirsch index s operational properties
1 Analysis of the Hirsch index s operational properties Fiorenzo Franceschini, Domenico A. Maisano POLITECNICO di TORINO Dipartimento di Sistemi di Produzione ed Economia dell Azienda (DISPEA) Corso Duca
More informationElsevier Databases Training
Elsevier Databases Training Tehran, January 2015 Dr. Basak Candemir Customer Consultant, Elsevier BV b.candemir@elsevier.com 2 Today s Agenda ScienceDirect Presentation ScienceDirect Online Demo Scopus
More informationBibliometrics and the Research Excellence Framework (REF)
Bibliometrics and the Research Excellence Framework (REF) THIS LEAFLET SUMMARISES THE BROAD APPROACH TO USING BIBLIOMETRICS IN THE REF, AND THE FURTHER WORK THAT IS BEING UNDERTAKEN TO DEVELOP THIS APPROACH.
More informationIn basic science the percentage of authoritative references decreases as bibliographies become shorter
Jointly published by Akademiai Kiado, Budapest and Kluwer Academic Publishers, Dordrecht Scientometrics, Vol. 60, No. 3 (2004) 295-303 In basic science the percentage of authoritative references decreases
More informationCitation Analysis. Presented by: Rama R Ramakrishnan Librarian (Instructional Services) Engineering Librarian (Aerospace & Mechanical)
Citation Analysis Presented by: Rama R Ramakrishnan Librarian (Instructional Services) Engineering Librarian (Aerospace & Mechanical) Learning outcomes At the end of this session: You will be able to navigate
More informationNavigate to the Journal Profile page
Navigate to the Journal Profile page You can reach the journal profile page of any journal covered in Journal Citation Reports by: 1. Using the Master Search box. Enter full titles, title keywords, abbreviations,
More informationCITATION CLASSES 1 : A NOVEL INDICATOR BASE TO CLASSIFY SCIENTIFIC OUTPUT
CITATION CLASSES 1 : A NOVEL INDICATOR BASE TO CLASSIFY SCIENTIFIC OUTPUT Wolfgang Glänzel *, Koenraad Debackere **, Bart Thijs **** * Wolfgang.Glänzel@kuleuven.be Centre for R&D Monitoring (ECOOM) and
More informationThe Google Scholar Revolution: a big data bibliometric tool
Google Scholar Day: Changing current evaluation paradigms Cybermetrics Lab (IPP CSIC) Madrid, 20 February 2017 The Google Scholar Revolution: a big data bibliometric tool Enrique Orduña-Malea, Alberto
More informationWHO S CITING YOU? TRACKING THE IMPACT OF YOUR RESEARCH PRACTICAL PROFESSOR WORKSHOPS MISSISSIPPI STATE UNIVERSITY LIBRARIES
WHO S CITING YOU? TRACKING THE IMPACT OF YOUR RESEARCH PRACTICAL PROFESSOR WORKSHOPS MISSISSIPPI STATE UNIVERSITY LIBRARIES Dr. Deborah Lee Mississippi State University Libraries dlee@library.msstate.edu
More informationWhere to present your results. V4 Seminars for Young Scientists on Publishing Techniques in the Field of Engineering Science
Visegrad Grant No. 21730020 http://vinmes.eu/ V4 Seminars for Young Scientists on Publishing Techniques in the Field of Engineering Science Where to present your results Dr. Balázs Illés Budapest University
More informationPromoting your journal for maximum impact
Promoting your journal for maximum impact 4th Asian science editors' conference and workshop July 6~7, 2017 Nong Lam University in Ho Chi Minh City, Vietnam Soon Kim Cactus Communications Lecturer Intro
More informationIEEE TRANSACTIONS ON PROFESSIONAL COMMUNICATION, VOL. 0, NO.,
IEEE TRANSACTIONS ON PROFESSIONAL COMMUNICATION, VOL. 0, NO., 2013 1 Research Article Impact of Journals and Academic Reputations of Authors: A Structured Bibliometric Survey of the IEEE Publication Galaxy
More informationNormalizing Google Scholar data for use in research evaluation
Scientometrics (2017) 112:1111 1121 DOI 10.1007/s11192-017-2415-x Normalizing Google Scholar data for use in research evaluation John Mingers 1 Martin Meyer 1 Received: 20 March 2017 / Published online:
More informationDON T SPECULATE. VALIDATE. A new standard of journal citation impact.
DON T SPECULATE. VALIDATE. A new standard of journal citation impact. CiteScore metrics are a new standard to help you measure citation impact for journals, book series, conference proceedings and trade
More informationScopus. Dénes Kocsis PhD Elsevier freelance trainer
Scopus Dénes Kocsis PhD denes.kocsis@gmail.com Elsevier freelance trainer Contents Scopus content Coverage of Scopus Selection process and criteria Available bibliometrics and analysis tools Journal-level
More informationThe mf-index: A Citation-Based Multiple Factor Index to Evaluate and Compare the Output of Scientists
c 2017 by the authors; licensee RonPub, Lübeck, Germany. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
More informationCITATION INDEX AND ANALYSIS DATABASES
1. DESCRIPTION OF THE MODULE CITATION INDEX AND ANALYSIS DATABASES Subject Name Paper Name Module Name /Title Keywords Library and Information Science Information Sources in Social Science Citation Index
More informationCitations and Self Citations of Indian Authors in Library and Information Science: A Study Based on Indian Citation Index
Research Journal of Library Sciences ISSN 2320 8929 Citations and Self Citations of Indian Authors in Library and Information Science: A Study Based on Indian Citation Index Abstract S. Dhanavandan and
More informationPBL Netherlands Environmental Assessment Agency (PBL): Research performance analysis ( )
PBL Netherlands Environmental Assessment Agency (PBL): Research performance analysis (2011-2016) Center for Science and Technology Studies (CWTS) Leiden University PO Box 9555, 2300 RB Leiden The Netherlands
More informationUsing Bibliometric Analyses for Evaluating Leading Journals and Top Researchers in SoTL
Georgia Southern University Digital Commons@Georgia Southern SoTL Commons Conference SoTL Commons Conference Mar 26th, 2:00 PM - 2:45 PM Using Bibliometric Analyses for Evaluating Leading Journals and
More informationresearchtrends IN THIS ISSUE: Did you know? Scientometrics from past to present Focus on Turkey: the influence of policy on research output
ISSUE 1 SEPTEMBER 2007 researchtrends IN THIS ISSUE: PAGE 2 The value of bibliometric measures Scientometrics from past to present The origins of scientometric research can be traced back to the beginning
More informationCONTRIBUTION OF INDIAN AUTHORS IN WEB OF SCIENCE: BIBLIOMETRIC ANALYSIS OF ARTS & HUMANITIES CITATION INDEX (A&HCI)
International Journal of Library & Information Science (IJLIS) Volume 6, Issue 5, September October 2017, pp. 10 16, Article ID: IJLIS_06_05_002 Available online at http://www.iaeme.com/ijlis/issues.asp?jtype=ijlis&vtype=6&itype=5
More informationMeasuring the Impact of Electronic Publishing on Citation Indicators of Education Journals
Libri, 2004, vol. 54, pp. 221 227 Printed in Germany All rights reserved Copyright Saur 2004 Libri ISSN 0024-2667 Measuring the Impact of Electronic Publishing on Citation Indicators of Education Journals
More informationA quantitative evaluation system of Chinese journals in the humanities and social sciences
Received May 27, 2009 Revised Jul. 29, 2009 Accepted Aug. 3, 2009 A quantitative evaluation system of Chinese journals in the humanities and social sciences SU Xinning 1 * & ZHOU Ping 2,3 1 Chinese Social
More informationF. W. Lancaster: A Bibliometric Analysis
F. W. Lancaster: A Bibliometric Analysis Jian Qin Abstract F. W. Lancaster, as the most cited author during the 1970s to early 1990s, has broad intellectual influence in many fields of research in library
More informationThe use of bibliometrics in the Italian Research Evaluation exercises
The use of bibliometrics in the Italian Research Evaluation exercises Marco Malgarini ANVUR MLE on Performance-based Research Funding Systems (PRFS) Horizon 2020 Policy Support Facility Rome, March 13,
More informationIntroduction to Citation Metrics
Introduction to Citation Metrics Library Tutorial for PC5198 Geok Kee slbtgk@nus.edu.sg 6 March 2014 1 Outline Searching in databases Introduction to citation metrics Journal metrics Author impact metrics
More informationCitation Metrics. From the SelectedWorks of Anne Rauh. Anne E. Rauh, Syracuse University Linda M. Galloway, Syracuse University.
From the SelectedWorks of Anne Rauh April 4, 2013 Citation Metrics Anne E. Rauh, Syracuse University Linda M. Galloway, Syracuse University Available at: https://works.bepress.com/anne_rauh/22/ Citation
More informationSTRATEGY TOWARDS HIGH IMPACT JOURNAL
STRATEGY TOWARDS HIGH IMPACT JOURNAL PROF. DR. MD MUSTAFIZUR RAHMAN EDITOR-IN CHIEF International Journal of Automotive and Mechanical Engineering (Scopus Index) Journal of Mechanical Engineering and Sciences
More informationResults of the bibliometric study on the Faculty of Veterinary Medicine of the Utrecht University
Results of the bibliometric study on the Faculty of Veterinary Medicine of the Utrecht University 2001 2010 Ed Noyons and Clara Calero Medina Center for Science and Technology Studies (CWTS) Leiden University
More informationVISIBILITY OF AFRICAN SCHOLARS IN THE LITERATURE OF BIBLIOMETRICS
VISIBILITY OF AFRICAN SCHOLARS IN THE LITERATURE OF BIBLIOMETRICS Yahya Ibrahim Harande Department of Library and Information Sciences Bayero University Nigeria ABSTRACT This paper discusses the visibility
More informationHorizon 2020 Policy Support Facility
Horizon 2020 Policy Support Facility Bibliometrics in PRFS Topics in the Challenge Paper Mutual Learning Exercise on Performance Based Funding Systems Third Meeting in Rome 13 March 2017 Gunnar Sivertsen
More informationPUBLIKASI JURNAL INTERNASIONAL
PUBLIKASI JURNAL INTERNASIONAL Tips (no trick in science) Ethics Monitoring Cited paper Journal Writing Paper 20 May 2015 Copyright (C) 2012 Sarwoko Mangkoedihardjo 1 Ethics (or Ended) Authorship Contribute
More informationAlfonso Ibanez Concha Bielza Pedro Larranaga
Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000-2009 Alfonso Ibanez Concha Bielza Pedro Larranaga Abstract
More informationAalborg Universitet. Scaling Analysis of Author Level Bibliometric Indicators Wildgaard, Lorna; Larsen, Birger. Published in: STI 2014 Leiden
Aalborg Universitet Scaling Analysis of Author Level Bibliometric Indicators Wildgaard, Lorna; Larsen, Birger Published in: STI 2014 Leiden Publication date: 2014 Document Version Early version, also known
More informationEVALUATING THE IMPACT FACTOR: A CITATION STUDY FOR INFORMATION TECHNOLOGY JOURNALS
EVALUATING THE IMPACT FACTOR: A CITATION STUDY FOR INFORMATION TECHNOLOGY JOURNALS Ms. Kara J. Gust, Michigan State University, gustk@msu.edu ABSTRACT Throughout the course of scholarly communication,
More informationConstructing bibliometric networks: A comparison between full and fractional counting
Constructing bibliometric networks: A comparison between full and fractional counting Antonio Perianes-Rodriguez 1, Ludo Waltman 2, and Nees Jan van Eck 2 1 SCImago Research Group, Departamento de Biblioteconomia
More informationCitation Metrics. BJKines-NJBAS Volume-6, Dec
Citation Metrics Author: Dr Chinmay Shah, Associate Professor, Department of Physiology, Government Medical College, Bhavnagar Introduction: There are two broad approaches in evaluating research and researchers:
More informationEdited Volumes, Monographs, and Book Chapters in the Book Citation Index. (BCI) and Science Citation Index (SCI, SoSCI, A&HCI)
Edited Volumes, Monographs, and Book Chapters in the Book Citation Index (BCI) and Science Citation Index (SCI, SoSCI, A&HCI) Loet Leydesdorff i & Ulrike Felt ii Abstract In 2011, Thomson-Reuters introduced
More informationEvaluation Tools. Journal Impact Factor. Journal Ranking. Citations. H-index. Library Service Section Elyachar Central Library.
Evaluation Tools Journal Impact Factor Journal Ranking Citations H-index Page 1 of 12 Journal Impact Factor Journal Citation Reports is a comprehensive resource that allows you to evaluate and compare
More informationRawal Medical Journal An Analysis of Citation Pattern
Sounding Board Rawal Medical Journal An Analysis of Citation Pattern Muhammad Javed*, Syed Shoaib Shah** From Shifa College of Medicine, Islamabad, Pakistan. *Librarian, **Professor and Head, Forensic
More informationCITATION DATABASES: SCOPUS, WEB OF SCIENCE CITESCORE SJR SNIP H INDEX IF ISSUES
CITATION DATABASES: SCOPUS, WEB OF SCIENCE CITESCORE SJR SNIP H INDEX IF ISSUES CITATION DATABASES Corso di dottorato in Scienze Farmacologiche contain: bibliographic records of the scientific papers citations
More informationKent Academic Repository
Kent Academic Repository Full text document (pdf) Citation for published version Mingers, John and Lipitakis, Evangelia A. E. C. G. (2013) Evaluating a Department s Research: Testing the Leiden Methodology
More informationWhich percentile-based approach should be preferred. for calculating normalized citation impact values? An empirical comparison of five approaches
Accepted for publication in the Journal of Informetrics Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches
More informationUniversity of Liverpool Library. Introduction to Journal Bibliometrics and Research Impact. Contents
University of Liverpool Library Introduction to Journal Bibliometrics and Research Impact Contents Journal Citation Reports How to access JCR (Web of Knowledge) 2 Comparing the metrics for a group of journals
More information1.1 What is CiteScore? Why don t you include articles-in-press in CiteScore? Why don t you include abstracts in CiteScore?
June 2018 FAQs Contents 1. About CiteScore and its derivative metrics 4 1.1 What is CiteScore? 5 1.2 Why don t you include articles-in-press in CiteScore? 5 1.3 Why don t you include abstracts in CiteScore?
More informationDiscussing some basic critique on Journal Impact Factors: revision of earlier comments
Scientometrics (2012) 92:443 455 DOI 107/s11192-012-0677-x Discussing some basic critique on Journal Impact Factors: revision of earlier comments Thed van Leeuwen Received: 1 February 2012 / Published
More informationEigenfactor : Does the Principle of Repeated Improvement Result in Better Journal. Impact Estimates than Raw Citation Counts?
Eigenfactor : Does the Principle of Repeated Improvement Result in Better Journal Impact Estimates than Raw Citation Counts? Philip M. Davis Department of Communication 336 Kennedy Hall Cornell University,
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationResearch metrics. Anne Costigan University of Bradford
Research metrics Anne Costigan University of Bradford Metrics What are they? What can we use them for? What are the criticisms? What are the alternatives? 2 Metrics Metrics Use statistical measures Citations
More informationScopus Journal FAQs: Helping to improve the submission & success process for Editors & Publishers
Scopus Journal FAQs: Helping to improve the submission & success process for Editors & Publishers Being indexed in Scopus is a major attainment for journals worldwide and achieving this success brings
More informationQuality assessments permeate the
Science & Society Scientometrics in a changing research landscape Bibliometrics has become an integral part of research quality evaluation and has been changing the practice of research Lutz Bornmann 1
More informationThe evolution of a citation network topology: The development of the journal Scientometrics
The evolution of a citation network topology: The development of the journal Scientometrics YIN LI-CHUN 1,2 HILDRUN KRETSCHMER 1,3 ROBERT A. HANNEMAN 4 LIU ZE-YUAN 1,2 1. WISE LAB, Dalian University of
More informationBibliometric analysis for information scientists in the University of Tampere in 2012: some results and discussion on information sources
Bibliometric analysis for information scientists in the University of Tampere in 2012: some results and discussion on information sources Merja Hyödynmaa, Eija Poteri and Saija Tapio, with the assistance
More informationARTICLE IN PRESS. Journal of Informetrics xxx (2009) xxx xxx. Contents lists available at ScienceDirect. Journal of Informetrics
Journal of Informetrics xxx (2009) xxx xxx Contents lists available at ScienceDirect Journal of Informetrics journal homepage: www.elsevier.com/locate/joi The Hirsch spectrum: A novel tool for analyzing
More informationAccpeted for publication in the Journal of Korean Medical Science (JKMS)
The Journal Impact Factor Should Not Be Discarded Running title: JIF Should Not Be Discarded Lutz Bornmann, 1 Alexander I. Pudovkin 2 1 Division for Science and Innovation Studies, Administrative Headquarters
More information