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. 2020 May 23:34:51.
doi: 10.34171/mjiri.34.51. eCollection 2020.

Bibliometric analysis of global scientific research on Coronavirus (COVID-19)

Hojat Dehghanbanadaki  1 , Farhad Seif  2 , Yasmin Vahidi  3 , Farideh Razi  4 , Ehsan Hashemi  5 , Majid Khoshmirsafa  6 , Hossein Aazami  7   8
Affiliations

Bibliometric analysis of global scientific research on Coronavirus (COVID-19)

Hojat Dehghanbanadaki et al. Med J Islam Repub Iran. .

Abstract

Background: Since the outbreak of the novel coronavirus disease from Wuhan, China, in early December 2019, many scientists focused on this infection to find a way to deal with it. Due to the dramatic scientific growth in this field, we conducted a scientometric study to gain a better understanding of the scientific literature on COVID-19. Methods: We extracted all COVID-19 documents indexed in the Scopus from December 1, 2019, to April 1, 2020, without any language limitation and determined their bibliometric characteristics, including document type, open accessibility status, citation counting, H-index, top cited documents, the most productive countries, institutions and journals, international collaboration, the most frequent terms and keywords, journal bibliographic coupling and cocitations. Results: A total of 923 documents on COVID-19 were retrieved, of which 418 were original articles. All documents had received 2551 citations with an average citation of 2.76 per document and an h-index of 23. China ranked first with 348 documents, followed by the United States (n = 160). The Lancet and BMJ Clinical Research Ed published the most documents (each with 74 documents) and 2 institutions (University of Hong Kong and Huazhong University of Science and Technology) ranked first in this regard. In addition, the present study analyzed the top 25 highly-cited documents (those that had received 70% of all citations). Conclusion: This study highlighted the focused subjects on various aspects of COVID-19 literature such as pathogenesis, epidemiology, transmission, diagnosis, treatment, prevention, and its complications.

Keywords: Bibliometrics; COVID-19; Novel Coronavirus; SARS-CoV-2; Scientometrics.

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