A Scientometric Profile on Malaysian Journal of Medicine & Health Science in Scopus Akulwar Mahesh Satish Research Scholar (M.Phil.) Dept.of Library & Information Science Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. (MS)India e-mail : maheshakulwar@gmail.com Vaishali Khaparde Professor and Head Dept.of Library & Information Science Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. (MS)India e-mail : Khapardevaishali@gmail.com Abstract: - The present study is based on the Scientometricis analysis of 113 research article published in SCOPUS on Malaysian journal of medicine & health science during the period of 2012-2016. This Study will review on year-wise distribution, Authorship pattern of contributions, Author wise distribution, Institution wise distribution, country-wise distribution, Length of Article wise distribution. The findings must reveal various aspects of the characteristics and patterns of contributions of the study. Keywords: - Scientometrics, Medicine, Health Science SCOPUS, Authorship pattern. 1. INTRODUCTION Now a day s Scientometric is one of the truly interdisciplinary research fields extended to almost all scientific fields. Scientometric applications are used to measure scientific activities, mainly by producing statistics on scientific publications indexed in databases. Scientometrics is the branch of science that describes the output traits in terms of organizational research structure, resource inputs and outputs, develops benchmarks to evaluate the quality of information output. Also Scientometric studies characterize the disciplines using the growth pattern and other attributes. These applications are extremely valuable methods for evaluating research output, to know about the author productivity and citation analysis in science and technology. Further Scientometric tools can be used to measure and describe countries, universities, research institutes, journals, specific research topics and specific disciplines (Singh, 2014). DEFINITION ANALYSIS: 2.1 Scientometrics: According to bankapur, M.B. and Kumabar, (1993) Scientometrics is a more general that Bibliometrics. It is interesting to know, that both disciplines have a large overlap. It is surprised to learn certain comments stating that both disciplines have a large overlap. It is 352 P a g e
surprised to learn certain comments stating that Scientometrics, using Bibliometrics techniques id a part of Bibliometrics. 2.2 Scientometrics Analysis: According to (2006), wouters, a cart intension has always existed between academic Scientometrics and political /practical, Scientometrics, the letter of which has been described as a hybrid of social science and bur rerate expertise (2006). 3. SCOPUS: Scopus is Elsevier s abstract and citation database launched in 2004. In 2009, the Content Selection and Advisory Board (CSAB) were formed to develop an objective system of evaluation and validation of peer-reviewed journals for inclusion or exclusion in Scopus against transparent and fair criteria. Covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peerreviewed journals in top-level subject fields Life Sciences, Social Sciences, Physical Sciences and Health Sciences. It covers three types of sources: Book Series, Journals, and Trade Journals. All journals covered in the Scopus database, regardless of who they are published under, are reviewed each year to ensure high-quality standards are maintained. Searches in Scopus also incorporate searches of patent databases. It gives four types of quality measure for each title, those are h-index, CiteScore, SJR (SCImago Journal Rank) and SNIP (Source Normalized Impact per Paper). Anyone can find all titles on the Scimago Journal Ranking website. According to the Scimago Journal Rankings, Nature has the highest h-index (1011 as of 2016), and CA - A Cancer Journal for Clinicians has the highest SJR (39.285 as of 2016) and CiteScore 2016 (89.23 in the 99th percentile). Scimagojr.com used to give country ranking based on Total Published Documents, Citable documents, Citations, Self-Citations, Citations per Document and h-index. As per this website USA (h-index: 1965) is in first place, UK (h-index : 1213) is in the second place and Germany (h-index : 1059) is in third place based on national h-index 4. LITERATURE REVIEW: Khaparde & Pawar (2013) studied the authorship pattern and author s collaborative research in Information Technology with a sample of 17917 articles collect from LISA during 2000-2009.The average number of authors per article is 1.80. In the study the degree of collaboration (C) during the overall 10 years (2000-2009) is 0.71 but the year wise degree of collaboration is almost same in all the years of mean value 0.49. According to 10 years of period, the multi- authorship articles are higher and predominant on single authorship. The study found that the researches in Information Technology are keep toward team research or group research rather than solo research. Khaparde (2013) the paper studied the Bibliometric Analysis of Research Publication of Department of Chemistry, Dr. Babasaheb Ambedkar Marathwada University, from 1975 to 2012. It analyzed all the 774research publications from the 144 journals. It examines yearwise distribution of papers, authorship pattern, journal in which author publish, it revealed that the number of publications has increased consistently from the year 1975 to the year 2012. 25% of the total publications have been made in 2009, 2010, and 2011. And the majority of the publications are made with 4 authors. And also the majority of the research paper published in journal of heterocyclic chemistry. 353 P a g e
Alhamdi, Khaparde& Kanekar, (2014) they attempted on bibliometric analysis of ten volumes (57-66) in the field of journal of Documentation. It is based on the references appended to International Journal of Journal of Documentation during 2001-2010. The present study is based on 15150 references appended to 364 articles contributed by the authors in Journal of Documentation. It was found that Journals Citations are more in number than other citations. In Authorship pattern it was found that Solo Researchers are Predominant than Collaborative Researchers. The extent of collaboration was not much popular among the Journal of Documentation. The mean relative growth for articles and citation in the first five years 2001 to 2005 is reduced according to the last five years 2006 to 2010.The value of group co-efficient (gp) was only 0.46. It was seen that researchers cited latest documents. Universities are the major contributors. The study shows the UK, USA, Finland, and Denmark, have the majority of most cited records in Journal of Documentation. Out of 364 articles there are 175 articles have pages length from 11 to 20. (lhamdi, Khaparde & Wankhede Raju, (2014) The present study deals a Scientometric analysis of 56 papers published in the Library and Information science & Technical Abstract (LISTA) on internet use in the subject of library &Information science during the period 2004-2013. Data is collected and analyzed by using the SPSS software. The study focused on various aspects: such as document types, growth Rate (GR) and doubling time (DT) of publications and citations, year-wise, authorship pattern, institutions involved, most prolific authors of the journal. The study revealed that most of the papers (71.4%) of papers were contributed by multiple authors. USA is the top producing country with 8 (14.3%) publications of the total output. All the articles were published in English language. The mean doubling time for the first five years (i.e. 2004 to 2008) is only (1.05) which is increased to (6.07) during the last five years (2009 to 2013). Maximum 35 (62.5%) out of 56 of the authors are not mentioned their email address in the paper. 5. OBJECTIVE OF THE STUDY: To study the Data Analysis & Interpretation To study the Author s Productivity To study the year-wise distribution of publishing and citation. To study the growth Rate (GR) and doubling time (DT) of publications To find out the authorship and degree of collaboration pattern in the publication To identify the length of Article. To find out organization-wise distribution of publication. To find out country-wise distribution of publication. 6. SCOPE AND LIMITATION OF THE STUDY: The present study is based on the Scientometrics Profiles of Malaysian journal of medicine & health science in SCOPUS. The present study is based on over all 113 contributions during 2012-2016. 7. DATA COLLECTION Data can be numerically expressed that is quantified quantifiable or objective (Fasibs off and Dely, 1990) the data was collected from SCOPUS, with the help of excel. Total 113 contributions during 2012-2016. 354 P a g e
8. DATA ANALYSIS AND INTERPRETATION: International Journal of Library and Information Studies Scientometrics analysis is a branch of bibliometrics. It is an important research tools for understanding of the subject it aims at measuring the utility of documents and relationship between documents and fields. The present study is based on the Scientometric profile of Malaysian journal of medicine & health science in SCOPUS 2012-2016.The present study is based on over all 113 contributions during 2012-2016. Data Analysis & Interpretation In views of the objectives of the present study, analysis the terms Malaysian journal of medicine & health science in the database SCOPUS on during 2012-2016. Table No.01 Year wise Author productivity Year Single Author Malty Author Total Author 2012 2 19 21 2013 3 23 26 2014 1 21 22 2015 0 21 21 2016 1 22 23 Total 7 106 113 Distribution of Year wise Author productivity is given in the Table No.1 The table shows the single authorship is predominant then multi authors. The majority of the contributions are contributed by multi author. Majority of the contributions are contributed by Multi authors with 106. Minimum of the contributed by Single Author with 07. Table No. 2 Authorship pattern Year 2012 2013 2014 2015 2016 Total Single Author 2 3 1 0 1 7 Two Authors 1 1 2 1 1 6 Three Authors 7 5 3 5 4 24 Four Authors 5 5 7 4 5 26 Five Authors 5 1 5 2 4 17 Six Author 0 6 2 2 6 16 More than Six 1 5 2 7 2 17 Authors Total 21 26 22 21 23 113 Table No.2 show the authorship pattern of the papers published during the period of study. The highest numbers of articles had been published by four authors 26. This is followed by 24 authors in three authors. The minimum numbers of authors is two authors of 6. 355 P a g e
Table No 3. Data Analysis & Interpretation Year Total No. Of Articles Total No. of Author AAPP PPA 2012 21 77 3.67 0.27 2013 26 126 4.85 0.21 2014 22 94 4.27 0.23 2015 21 107 5.10 0.20 2016 23 108 4.70 0.21 Total 113 512 4.53 0.22 The data pertaining to author productivity has presented in the Table No.03 shows that the total Average number of authors per paper is 4.53 for the relatively equal average number of authors Per article when compared the total average number of authors per article. The average Productivity per author is 0.22 during the year 2012 2016. Productivity has been calculated with the following formula. Average Authors per Paper = No. of Authors / No. of Papers Productivity per Author = No. of Papers / No. of Authors. MOST PRODUCTIVE AUTHORS: Table No. 04 Shows Most Productive Author Sr.No. Authors Total % 1 Rampal L. 14 2.73 2 George E. 8 1.56 3 Mohamad I. 7 1.37 4 Azhar M.Z. 5 0.98 5 Ramasamy R. 5 0.98 6 Vidyadaran S. 5 0.98 7 Irfan M. 4 0.78 8 Omar N. 4 0.78 9 Samsudin I.N. 4 0.78 10 Thambiah S.C. 4 0.78 11 Abdullah M. 3 0.59 12 Ibrahim N. 3 0.59 13 Manohar A. 3 0.59 14 Mohamad M. 3 0.59 15 Normala I. 3 0.59 16 Razali R. 3 0.59 17 Salmiah M.S. 3 0.59 18 Sham S.Y.Z. 3 0.59 19 Sherina M.S. 3 0.59 20 Sidik S.M. 3 0.59 21 Subha S.T. 3 0.59 22 Author Publishing Two (2x34) 68 13.28 23 Author Publishing One (1x351) 351 68.55 Total 512 100 356 P a g e
It can be observed from Table No.04 that, the most productive authors are Rampal L. who had contributed 14 papers. And this followed by George E. each contributed 8 papers. The rest 351 (68.55 %) authors each published one articles. Table No. 05 Institute-Wise Distribution of Articles Published Sr.No. Affiliations Total % 1 Department of Pathology, Faculty of Medicine and Health Sciences, University Putra Malaysia, Malaysia 2 Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia 3 Department of Otorhinolaryngology-Head and Neck Surgery, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia 4 Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia 5 Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia 6 Department of Community Health, Faculty of Medicine and Health Sciences, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia 7 Immunology Laboratory, Department of Pathology, Malaysia, Stem Cell Research Laboratory, Genetic and Regenerative Medicine Research Center, Malaysia 8 Department of Biomedical Science, Faculty of Science, Universiti Tunku Abdul Rahman (UTAR), 31900 Kampar, Perak, Malaysia 9 Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia 10 Ophthalmology Department, Hospital Serdang, Lebuhraya Kajang-Puchong, Kajang, Selangor, Malaysia 11 Department of General Medicine, Hospital Putrajaya, Pusat Pentadbiran Kerajaan Persekutuan, Presint 7, Putrajaya, Malaysia 12 Department of Medical Microbiology and Parasitology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia, Tissue Engineering Centre, Cheras, Kuala Lumpur, Malaysia 13 Department of Molecular Biology, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia 14 Faculty of Medicine, Universiti Kebangsaan Malaysia, Medical Centre, Cheras, Kuala Lumpur, Malaysia 57 11.13 28 5.47 21 4.10 18 3.52 17 3.32 16 3.13 13 2.54 9 1.76 8 1.56 8 1.56 7 1.37 7 1.37 7 1.37 7 1.37 Six Institution Publication 6 x5 30 5.86 20 Five Institution Publication 5 x7 35 6.84 21 Four Institution Publication 4 x10 40 7.81 22 Three Institution Publication 3x10 30 5.86 23 Two Institution Publication 2x32 64 12.50 24 Single Institution Publication 1x90 90 17.58 Total 512 100 Institution is a society or organization for the promotion of science, education etc. An institute is a permanent organizational body created for a certain purpose. Often it is a research organization (research institution) created to do research on specific topics. An institute can also be a professional body. In some countries institutes can be part of a university or other institution of higher education, either as a group of departments or an autonomous educational institution without a classic full university status such as a University Institute. 357 P a g e
Table 06: Country-Wise Distribution of Articles Sr. No. Country Total % 1 Malaysia 489 95.51 2 Australia 10 1.95 3 Indonesia 4 0.78 4 India 3 0.59 5 Nigeria 2 0.39 6 Canada 1 0.20 7 Iraq 1 0.20 8 United States 1 0.20 9 Yemen 1 0.20 Total 512 100.00 It can be observed from Table No 06 that, there were as many as 9 countries carrying out research and produced 113 articles. Table no.05 provides ranked List of countries contributing to this field, the number of publications of each country and their share in percentages. Malaysia is the top producing country with 489 (95.51%) publications of the total Output. Also it can be stated that papers not mentioned their country of publication are more than other countries in this study. Relative Growth Rate [r (a)] And Doubling Time [dt (a)] For Publications: RELATIVE GROWTH RATE (RGR): The Relative Growth Rate (RGR) is the increase in number of articles/ pages per unit of time. This definition is derived from the definition of relative growth rates in the study of growth analysis of individual plants and effectively applied in the field of Botany Hunt (1919), Blackman (1919) defined, which in turn had its origin from the study of the rate of interest in the financial investment. The mean Relative Growth rate (R) over the specific period of interval can be calculated from the following equation. R 1-2 = Loge 2 W - loge IW Whereas, 1-2 R = mean relative growth rate over the specific period of interval. Loge IW = log of initial number of Articles. Loge 2 W = log of final number of articles after a specific period of interval. 2 T - 1 T = the unit difference between the initial time and final time. The year can be taken here as the unit of time. The RGR for articles is hereby circulated. Therefore, 1-2 (aa-1 year-1) can represent the mean relative growth rate per unit of year over a specific period of interval. DOUBLING TIME (Dt) There exists a direct equivalence between the relative growth rate and the doubling time. If the numbers of articles/pages of subject double during a given period then the difference the logarithms of numbers at the beginning and end of this period must be logarithms of number 358 P a g e
2. If natural logarithm is used this difference has a value of 0.693. Thus the corresponding doubling time for each specific period of interval and for both articles and pages can be calculated by the formula, Doubling time (Dt) = 0.693/ R (A) Therefore, Doubling time for articles D(t) = 0.693/1-2 R (aa-1 year-1) Table No. 07: Relative Growth Rate and Doubling Time of Publication Year No of Cumulative W1 W2 RGR Mean[R(A)] DT(A) Mean Articles Frequency DT(A) 2012 21 21 3.04 2013 26 47 3.04 3.85 0.81 0.85 2014 22 69 3.85 4.23 0.38 0.336 1.82 1.668 2015 21 90 4.23 4.49 0.26 2.66 2016 23 113 4.49 4.72 0.23 3.01 From the table no.07 no, it noticed that the mean relative growth for the first five years 2012 to 2016 is (0.336). While the Doubling time for different years [DT (A)] gradually increased from (1.668).Thus as the rate of growth of publication was decreased, the corresponding Doubling Time was increased. Table.No.08 Number of Page wise Distribution of the Article Year 1 To 5 6 To 10 11 To 15 16 To 20 Total 2012 9 11 0 1 21 2013 11 13 1 0 25 2014 5 16 1 0 22 2015 6 14 1 0 21 2016 13 8 3 0 24 Total 44 62 6 1 113 It can be observed from Table no.08, that the highest number of 62 articles contains 6 To 10 pages, followed by 44 articles contain 1 To 5 pages. Table No. 09: Language-wise Distribution of Art Language Frequency Percentage English 113 100 Total 113` 100 From table no. 09 Show that, the language wise distribution of Article on SCOPUS. Total 113 Article were published in Malaysian journal of medicine & health science from 2012to 2016. All the articles were published in English language. 9. FINDINGS: 1. The highest numbers 26 (23.01 %) of papers were published in 2013 contributing. 2. The highest numbers of articles has been published by four authors 64. 359 P a g e
3. Most productive authors are Rampal L. who had contributed 14(2.73 %) papers. 4. Department of Pathology, Faculty of Medicine and Health Sciences, University Putra Malaysia, Malaysia contributed 57(11.13) times. 5. 09 countries carrying out research and produced 113 articles. Malaysia is the top producing country with 489 (95.51%) publications of the total output. 6. The 113 (100.00%) articles were published in English Language. 7. The highest number of 62 articles contains 6 to 10 pages. 10.CONCLUSIONS Scientometrics relatively new subject of Malaysian journal of medicine & health science. It helps to evaluate information & to handle the information in libraries and information centers by the quantitative analyzed information. It deals with the mathematical and statistical analysis. We concluded that the present study is based on Malaysian journal of medicine & health science. This study is helpful for researches as well as information scientiests. It is good and informative for the researcher. Total 113 articles publish in present journal during the period of study. The year 2013 shows the maximum number of contributions 26 articles 23.01%.This study reveals that the categories of article distribution are remarkable in this resent journal. All the articles were published in English language. Most productive authors are Rampal L. who had contributed 14(2.73 %) articles. The majority of the article was a contribution by four authors 26 and single authors is 7. Department of Pathology, Faculty of Medicine and Health Sciences, University Putra Malaysia, Malaysia contributed 57(11.13) times. REFERENCES: 1. Alhamdi, F. A., Khaparde, V., & Kanekar, B. V. (2014). Journal of Documentation: A Bibliometric Study (2001-2010). Excel s International Journal of Social Science & Humanities,1(2).57-70. 2. Alhamdi.F., Khaparde,V and Wankhede R.S(2014) A Scientometric Profile On Internet Use Of Library & Information Science Subject In (LISTA), e-library Science Research Journal 3(1).P.P.1-8 3. Blackman VH( 2005). The compound interest law and plant growth. Annals of Botany, 33. 353-360. 4. Haitun D. (1983). Scientometrics: State and Perspectives, Science, 8, 48-54. 5. Khaparde, V. and Pawar.S. Authorship Pattern and Degree of Collaboration in Information Technology. Journal of Computer Science & Information Technology. 2013.1 (1), 46-54. 6. Khaparde, V. Bibliometric Analysis of Research Publication of Department of Chemistry, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Journal of Computer Science & Information Technology. 2013. 1 (1). 65-73. 7. Saha, N. C., Das, S. K, and Sharma, a. k. Contributions in the Proceedings of Planner (2006-2010): A Bibliometric Study. IASLIC Bulletin. 2013. 58 (2). 93-107. 8. Singh, J. K. (2014). Research Journal of Library Sciences, 1(2). 7-12. 9. https://www.scopus.com/sourceid/11300153737?origin=sbrowse (31/01/2017) 360 P a g e