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Bibliometric analysis of global scientific research on Coronavirus (COVID-19).
Dehghanbanadaki, Hojat; Seif, Farhad; Vahidi, Yasmin; Razi, Farideh; Hashemi, Ehsan; Khoshmirsafa, Majid; Aazami, Hossein.
  • Dehghanbanadaki H; Metabolic Disorders Research Center, Endocrinology and Metabolism MolecularCellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Seif F; Department of Immunology and Allergy, Academic Center for Education, Culture, and Research, Tehran, Iran.
  • Vahidi Y; Department of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Razi F; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Hashemi E; National Research Center for Transgenic Mouse, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
  • Khoshmirsafa M; Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Aazami H; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Med J Islam Repub Iran ; 34: 51, 2020.
Article in English | MEDLINE | ID: covidwho-771109
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

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Med J Islam Repub Iran Year: 2020 Document Type: Article Affiliation country: Mjiri.34.51

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Med J Islam Repub Iran Year: 2020 Document Type: Article Affiliation country: Mjiri.34.51