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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/6874| Bibliometric analysis of COVID-19 literature | |
| Md. Sayeed Al-Zaman | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.07.15.20154989 | |
| https://www.medrxiv.org/content/10.1101/2020.07.15.20154989v1 | |
| This study analyzes N=16384 COVID-19-related literature published between December 2019 to June 2020. The data were extracted from the Web of Science database using four keywords: "COVID-19", "Coronavirus", "2019-nCoV", and "SARS-CoV-2". The analysis found that almost all but a tiny number of the papers are published in 2020 (95.16%). Of the 15 types of publications, article (40.015%) is on the top of the list. All publications are in 19 different languages where English (95.313%) is the dominant one. A total of 159 countries produce COVID-19-related researches, and the USA (25.433%) is in the leading position. According to the findings, Wang Y (n=94) is the top author, and the British Medical Journal (BMJ) (n=488) is the top source. Also, the University of London (n=488) is the leading organization with the highest number of papers, and medicine-related papers (n=2259) are the highest in numbers. Apart from these novel findings, this study is perhaps the largest COVID-19-related bibliometric analysis to date. | |
| Medrxiv | |
| 19-07-2020 | |
| Preimpreso | |
| https://www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Bibliotecarios Estudiantes Investigadores Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Bibliometric analysis of COVID-19 literature.pdf | 85.68 kB | Adobe PDF | Visualizar/Abrir |