Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the co-authorship of COVID-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database. The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). The bibliometric analysis is visualized utilizing the VosViewer software. Type of analysis using co-authorship with unit of analysis are authors, and countries

Akbar, Iskandar

Ansari Saleh, Ahmar

Firman, Azis

Riskha Dora Candra, Dewi

Rusli, Rusli

Repository Universitas Negeri Makassar

University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln Spring 5-16-2020 Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis Akbar Iskandar Department of Informatics Engineering, STMIK AKBA, Makassar, Indonesia, akbar.iskandar06@gmail.com Firman Azis Department of Communication Science, Universitas Pendidikan Indonesia, Bandung, Indonesia Riskha Dora Candra Dewi Department of Medical Record, Politeknik Negeri Jember, Jember, Indonesia R. Rusli Department of Mathematics, Universitas Negeri Makassar, Makassar, Indonesia Ansari Saleh Ahmar Department of Statistics, Universitas Negeri Makassar, Makassar, Indonesia, ansarisaleh@unm.ac.id Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac  Part of the Diseases Commons, Library and Information Science Commons, and the Statistics and Probability Commons Iskandar, Akbar; Azis, Firman; Dewi, Riskha Dora Candra; Rusli, R.; and Ahmar, Ansari Saleh, "Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis" (2020). Library Philosophy and Practice (e-journal). 4528. https://digitalcommons.unl.edu/libphilprac/4528 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 1   Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis  Akbar Iskandar1, Firman Azis2, Riskha Dora Candra Dewi3,  R. Rusli4, Ansari Saleh Ahmar5*  1Department of Informatics Engineering, STMIK AKBA, Makassar, Indonesia  2Department of Communication Science, Universitas Pendidikan Indonesia, Bandung, Indonesia 3Department of Medical Record, Politeknik Negeri Jember, Jember, Indonesia 4Department of Mathematics, Universitas Negeri Makassar, Makassar, Indonesia 5Department of Statistics, Universitas Negeri Makassar, Makassar, Indonesia  Abstract Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science.  This data analysis would discuss the co-authorship of COVID-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database. The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). The bibliometric analysis is visualized utilizing the VosViewer software. Type of analysis using co-authorship with unit of analysis are authors, and countries.  Keywords: Covid-19; Co-Authorship; Bibliometric Analysis; Web of Science.  1. Introduction In last of 2019 (December 2019), there is one incident that has shocked the world, namely the COVID-19 pandemic (Mansi, 2020; Ahmar & Boj, 2020; Patil, Patel, & Sarkar, 2020). Hence, the overall public health crisis in food nutrition takes under consideration to decreased. The political, cultural, and socio-economic impacts of this pandemic can jointly cause significant changes in human society like increased remote-jobs, localization of worldwide supply chains, and increased political polarization (Rana, et.al., 2020).  Lately the world is enlivened by an outbreak of COVID-19 or Coronavirus diseases. Corona Virus Diseases (COVID-19) is a virus that was first discovered in Hubei Province, China. This disease affected millions of the world's population and killed hundreds of people. There are other casualties, not only individual offenders, but they also impact the nature and social life of the society. The cause of this epidemic is a virus named Coronavirus that affects the immune system of the human body (Chowdhury, et. al., 2020).  Progress and development trends in COVID-19 have been analyzed by numerous researchers and the findings of these studies have been listed in the Web of Science publication database and the number of Covid-19 experiments continues to increase. Bibliometrics analysis on Covid19 in the Web of Science database are still lacking by researchers (Fan, et.al. 2020; Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 2  Gong, et.al., 2020). Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science.   2. Methods The bibliometric method used in this analysis. This data analysis would discuss the co-authorship of Covid-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database included citation indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI), Conference Proceedings Citation Index- Science (CPCI-S), Conference Proceedings Citation Index- Social Science & Humanities (CPCI-SSH), Book Citation Index– Science (BKCI-S), Book Citation Index– Social Sciences & Humanities (BKCI-SSH), and Emerging Sources Citation Index (ESCI). The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). The bibliometric analysis is visualized utilizing the VosViewer software.  Type of analysis using co-authorship with unit of analysis are authors, and countries; counting method is full counting; the maximum number of authors per document is 100; minimum number of documents of an authors is 1; and minimum number of citations of an authors is 0. Based on analysis, there are 11520 authors and 2975 connected items.  3. Results and Discussion Bibliometrics is a area of research that examines the quality and dissemination of scientific articles in a variety of scientific areas. This bibliometric analysis can be done in the form of authorship analysis, quotation analysis, authorship collaboration, document obsolescence, and so on. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. Out of the findings of the WoS search, 2954 publications is composed of 11 document types as can be seen in Table 1.  Table 1 Document type of the collection of metadata on Keyword “Covid” and Year Publication “2020”  Type No. of article Percentage Early access 1075 26,67 Article 978 24,26 Editorial material 924 22,92 Letter 532 13,20 Review 258 6,40  News item 235 5,83 Correction 25 0,62 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 3  Type No. of article Percentage  Meeting abstract 1 0,02 Biographical item 1 0,02  Proceedings paper 1 0,02             1 0,02  Table 1 showed that the number of Covid publications in WoS with early access is 1075, the papers 978 and the paper reviews 258. And as many as 25 articles have been corrected. Early Access indicates an article that has been electronically published by a journal before it has been assigned to a specific volume and issue. These articles are also known as "articles in press" or "publish ahead of print" depending on the publisher's branding.  Table 2 Open access document Type No. of article All Open Access 2601 DOAJ Gold 517 Other Gold 286 Bronze 1865 Green Published 1051 Green Accepted 84  From the table 2 shown that there are 2601 publication with open access type. The dominan of open access by Bronze type and this meaning that There are 1865 publications given free access to the article for a limited period of time; and 1051 publication with green published type that final published versions of articles hosted on an institutional or subject-based repository (e.g. an article out of its embargo period posted to PubMed Central).  Table 3 Languages of document  No Language No. of article Percentage 1 English 2842 96,21 2        43 1,46 3 Spanish 16 0,54 4 Hungarian 12 0,41 5        11 0,37 6  o         9 0,30 7  o    i   6 0,20 8 Czech 4 0,14 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 4  No Language No. of article Percentage 9     i   4 0,14 10     i   3 0,10 11  o i   2 0,07 12       di  1 0,03 13     i   1 0,03  Table 3 indicates that there are 13 languages used in Covid research, which is dominated by English and European countries.   Figure 1 Network Visualization of Co-authorship (Authors unit analysis)  Figure 1 shown that the relationship between authorship and the color variations indicate the number of cluster researchers formed. Cluster analysis of the research co-authorship network shows that the network contains 61 clusters in various colors. Based on bibliometric analytics, there are 61 clusters of authorship. The summary of the clusters can be seen in table 4 and in detail the cluster can be seen in appendix 1.     Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 5  Table 4 Summary of the clusters of Researchers Cluster Number of Researchers Sum of Links weight Sum of Documents weight Sum of Citation weight 1 82 1262 106 18 2 81 864 92 114 3 81 1353 97 0 4 76 974 100 60 5 76 1173 93 36 6 74 948 102 0 7 72 1303 89 0 8 71 1634 91 0 9 69 2579 77 0 10 68 2728 76 2 11 67 4802 79 0 12 67 998 82 0 13 66 1580 84 0 14 66 1431 79 0 15 64 768 80 100 16 64 874 75 0 17 60 1807 74 0 18 59 586 92 0 19 59 862 74 0 20 58 2055 68 0 21 57 807 77 31 22 56 1046 65 0 23 56 846 67 3 24 56 1342 64 0 25 55 795 68 0 26 54 826 82 0 27 52 672 62 0 28 51 1997 55 0 29 49 791 59 6 30 49 1186 66 0 31 48 844 83 18 32 48 1809 54 0 33 46 825 55 0 34 46 617 56 0 35 45 738 55 138 36 45 779 50 0 37 44 1463 50 0 38 44 497 52 0 39 42 651 59 0 40 42 327 53 121 41 41 367 48 0 42 41 657 60 0 43 40 1575 41 0 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 6  Cluster Number of Researchers Sum of Links weight Sum of Documents weight Sum of Citation weight 44 38 547 46 0 45 35 411 51 0 46 35 897 59 44 47 34 411 40 0 48 33 350 39 0 49 32 275 37 3 50 32 316 56 0 51 30 394 35 26 52 29 362 35 0 53 28 369 37 0 54 28 772 29 0 55 25 233 34 0 56 21 242 23 0 57 20 187 22 0 58 20 400 20 0 59 19 193 20 0 60 15 180 18 0 61 14 61 20 24 Total 2975 58638 3712 744   Figure 2 Overlay visualization of citations of Co-authorship (Authors unit analysis)  Figure 2 shown a visualization of the number of citations from each researchers. The most cluster citation is Cluster of Guo, Yu (with 23 citations) (Xia, 2020); Cluster of  Liu, Jun (with 13 citations) (Zhao, et.al. 2020); Cluster of Li, Jian (with 10 citations) (Tian, et.al, Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 7  2020); Cluster of Shi, Lei (with 9 citations) (Xu, et.al., 2020); and Cluster of Liu, Fang (with 8 citations) (Liu, et.al, 2020).   Figure 3 Network Visualization of Co-authorship (Countries unit analysis)  Figure 3 shown the Covid-19 publications are dominated by the USA, People's Republic of China, Italy, and England. The summary of number of publications per country can be seen in table 4. The table 4 also shown there are 36 countries grouped into 6 clusters.  Table 4 Summary of the clusters of Researchers No. Country Cluster No. No. of Documents No. of Citations 1 USA 6 127 101 2 People's Republic of China 5 99 220 3 Italy 8 63 24 4 England 7 49 22 5 France 1 24 23 6 Canada 6 24 14 7 Australia 4 22 7 8 India 5 21 10 9 Germany 1 13 1 10 Singapore 3 12 1 11 Spain 1 11 3 12 Switzerland 1 9 3 13 Iran 6 9 1 14 Japan 3 8 9 15 Austria 1 8 3 16 Belgium 1 8 0 17 Taiwan 5 8 0 18 Netherlands 1 7 4 19 South Korea 3 7 1 20 Israel 2 6 1 21 Turkey 1 6 0 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 8  No. Country Cluster No. No. of Documents No. of Citations 22 Brazil 2 5 5 23 Thailand 5 5 2 24 Scotland 7 5 0 25 Sweden 4 4 3 26 South Africa 2 3 0 27 Wales 8 2 3 28 Denmark 3 2 1 29 New Zealand 4 2 1 30 Norway 4 2 1 31 Russia 1 2 0 32 Mexico 2 2 0 33 Ireland 8 2 0 34 Czech Republic 1 1 0 35 Grenada 6 1 0 36 North Macedonia 7 1 0  Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.  References Ahmar, A. S., & Boj del Val, E. (2020). The date predicted 200.000 cases of Covid-19 in Spain. Journal of Applied Science, Engineering, Technology, and Education, 2(2), 188-193. DOI: 10.35877/454RI.asci22102 Azarafza, M., Azarafza, M., & Akgün, H. (2021). Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran . Journal of Applied Science, Engineering, Technology, and Education, 3(1), 1-6. DOI: 10.35877/454RI.asci31109 Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020). Immune response in COVID-19: A review. Journal of Infection and Public Health. 13(11), 1619–1629. DOI: 10.1016/j.jiph.2020.07.001 Fan, J., Gao, Y., Zhao, N., Dai, R., Zhang, H., Feng, X., ... & Bao, S. (2020). Bibliometric analysis on COVID-19: A comparison of research between English and Chinese studies. Frontiers in Public Health, 8, 477. DOI: 10.3389/fpubh.2020.00477 Gong, Y., Ma, T. C., Xu, Y. Y., Yang, R., Gao, L. J., Wu, S. H., ... & Yun, T. (2020). Early research on COVID-19: A bibliometric analysis. The Innovation, 1(2), 100027.         DOI: 10.1016/j.xinn.2020.100027 Liu, H., Liu, F., Li, J., Zhang, T., Wang, D., & Lan, W. (2020). Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. Journal of Infection. DOI: 10.1016/j.jinf.2020.03.007 Iskandar, et.al.     Library Philosophy and Practice (LPP) (ISSN 1522-0222) 9   Mansi, E. W. (2020). Environmental Health Aspect of The Novel Corona Virus Disease and Its Global Impact. Journal of Applied Science, Engineering, Technology, and Education, 3(2), 151-159. DOI: 10.35877/454RI.asci131 Patil, R., Patel, U., & Sarkar, T. (2021). COVID-19 cases prediction using regression and novel SSM model for non-converged countries. Journal of Applied Science, Engineering, Technology, and Education, 3(1), 74-81. DOI: 10.35877/454RI.asci137 Rana, M. S., Rony, M. A. T., Aktar, N., Hossain, K., Shuvo, T. A., Begum, S., & Ul Hosna, A. (2021). Effect of COVID-19 in Bangladesh: Challenge and Overcome. Journal of Applied Science, Engineering, Technology, and Education, 3(1), 53-68. DOI: 10.35877/454RI.asci128 Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., ... & Chen, G. (2020). Characteristics of COVID-19 infection in Beijing. Journal of Infection, 80(4), 401-406. DOI: 10.1016/j.jinf.2020.02.018  Xia, W., Shao, J., Guo, Y., Peng, X., Li, Z., & Hu, D. (2020). Clinical and CT features in   di   i     i      i   COV  ‐19 i f   io :  iff       oi    f o   d    . Pediatric Pulmonology, 55(5), 1169-1174. DOI: 10.1002/ppul.24718 Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., ... & Tai, Y. (2020). Pathological findings of COVID-19 associated with acute respiratory distress syndrome. The Lancet Respiratory Medicine, 8(4), 420-422. DOI: 10.1016/S2213-2600(20)30076-X Zhao, W., Zhong, Z., Xie, X., Yu, Q., & Liu, J. (2020). Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. American Journal of Roentgenology, 214(5), 1072-1077. DOI: 10.2214/AJR.20.22976    

Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis

http://eprints.unm.ac.id/24504/1/2%20-%20Co-Authorship%20Visualization%20of%20Research%20on%20COVID-19.pdf

Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis

Abstract

Similar works

Full text

Available Versions

Repository Universitas Negeri Makassar