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Volume 7, Issue 2 (summer 2021)                   JMIS 2021, 7(2): 28-37 | Back to browse issues page

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Giti A, Fassihi A, Faraji Z, Golchin M. COVID-19 scientific map in Web of Science information database. JMIS. 2021; 7 (2) :28-37
URL: http://jmis.hums.ac.ir/article-1-300-en.html
PHD, Knowledge and Information Science, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Abstract:   (191 Views)
Aim: COVID -19 is an epidemic that affects the entire world. This study was conducted at the beginning of 2021 with the aim of scientometrically drawing a map of COVID 19 in the Web of Science Information Database.
Methods: The present applied research is of quantitative type and has been done by Scientometric method. This study was conducted in April 2021 using the Web of Science database. The sample population is all existing and related documents in the field of COVID in the database, which uses 101466 related keyword extraction and Scientometric analysis and illustration analysis using Excel and VOSviewer Software.
Results: According to the information obtained, the publication of articles related to this issue has an upward trend. Most documents are in English and the United States is the largest producer of documents in this field. The most active authors are anonymous with 754 degrees and BMJ British Medical Journal magazine with 1363 titles, is the core and main magazine in COVID 19. This topic has 442 hot paper articles and 1966 highly cited article titles.
 Conclusion: This study provides an overview of COVID in the Web of Science Information Database that can be a guide and roadmap for researchers and the scientific audience.
Full-Text [PDF 286 kb]   (107 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2021/04/27 | Accepted: 2021/07/1 | Published: 2021/07/1

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