Cargando…
Bibliometric analysis of global scientific research on Coronavirus (COVID-19)
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 o...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481853/ https://www.ncbi.nlm.nih.gov/pubmed/32934940 http://dx.doi.org/10.34171/mjiri.34.51 |
_version_ | 1783580693634220032 |
---|---|
author | Dehghanbanadaki, Hojat Seif, Farhad Vahidi, Yasmin Razi, Farideh Hashemi, Ehsan Khoshmirsafa, Majid Aazami, Hossein |
author_facet | Dehghanbanadaki, Hojat Seif, Farhad Vahidi, Yasmin Razi, Farideh Hashemi, Ehsan Khoshmirsafa, Majid Aazami, Hossein |
author_sort | Dehghanbanadaki, Hojat |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7481853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Iran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-74818532020-09-14 Bibliometric analysis of global scientific research on Coronavirus (COVID-19) Dehghanbanadaki, Hojat Seif, Farhad Vahidi, Yasmin Razi, Farideh Hashemi, Ehsan Khoshmirsafa, Majid Aazami, Hossein Med J Islam Repub Iran Original Article 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. Iran University of Medical Sciences 2020-05-23 /pmc/articles/PMC7481853/ /pubmed/32934940 http://dx.doi.org/10.34171/mjiri.34.51 Text en © 2020 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc-sa/1.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Dehghanbanadaki, Hojat Seif, Farhad Vahidi, Yasmin Razi, Farideh Hashemi, Ehsan Khoshmirsafa, Majid Aazami, Hossein Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title | Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title_full | Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title_fullStr | Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title_full_unstemmed | Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title_short | Bibliometric analysis of global scientific research on Coronavirus (COVID-19) |
title_sort | bibliometric analysis of global scientific research on coronavirus (covid-19) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481853/ https://www.ncbi.nlm.nih.gov/pubmed/32934940 http://dx.doi.org/10.34171/mjiri.34.51 |
work_keys_str_mv | AT dehghanbanadakihojat bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT seiffarhad bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT vahidiyasmin bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT razifarideh bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT hashemiehsan bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT khoshmirsafamajid bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 AT aazamihossein bibliometricanalysisofglobalscientificresearchoncoronaviruscovid19 |