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Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research

Coronaviruses (CoV) cause respiratory and intestinal infections. We conducted this bibliometric analysis and systematical review to explore the CoV-related research trends from before COVID-19. We systematically searched the Ovid MEDLINE, Ovid Embase, and Web of Science (WOS) databases for published...

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Detalles Bibliográficos
Autores principales: Yan, Peijing, Li, Meixuan, Li, Jing, Lu, Zhenxing, Hui, Xu, Bai, Yuping, Xun, Yangqin, Lao, Yongfeng, Wang, Shizhong, Yang, Kehu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635101/
https://www.ncbi.nlm.nih.gov/pubmed/34869424
http://dx.doi.org/10.3389/fmed.2021.729138
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author Yan, Peijing
Li, Meixuan
Li, Jing
Lu, Zhenxing
Hui, Xu
Bai, Yuping
Xun, Yangqin
Lao, Yongfeng
Wang, Shizhong
Yang, Kehu
author_facet Yan, Peijing
Li, Meixuan
Li, Jing
Lu, Zhenxing
Hui, Xu
Bai, Yuping
Xun, Yangqin
Lao, Yongfeng
Wang, Shizhong
Yang, Kehu
author_sort Yan, Peijing
collection PubMed
description Coronaviruses (CoV) cause respiratory and intestinal infections. We conducted this bibliometric analysis and systematical review to explore the CoV-related research trends from before COVID-19. We systematically searched the Ovid MEDLINE, Ovid Embase, and Web of Science (WOS) databases for published bibliometric analyses of CoV from database inception to January 24, 2021. The WOS Collection was searched from inception to January 31, 2020, to acquire the CoV-related publications before COVID-19. One-Way ANOVA and Bonferroni multiple-comparison tests were used to compare differences. Visualization mapping and keyword cluster graphs were made to illustrate the research topics and hotpots. We included 14,141 CoV-related publications for the bibliometric analysis and 16 (12 articles) CoV-related bibliometric analyses for the systematic review. Both the systematic review and bibliometric analysis showed (1) the number of publications showed two steep upward trajectories in 2003–2004 and in 2012–2014; (2) the research hotpots mainly focused on the mechanism, pathology, epidemiology, clinical diagnosis, and treatment of the coronavirus in MERS-CoV and SARS-Cov; (3) the USA, and China; the University of Hong Kong; and Yuen KY, came from the University of Hong Kong contributed most; (4) the Journal of Virology had the largest number of CoV related studies. More studies should focus on prevention, diagnosis, and treatment in the future.
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spelling pubmed-86351012021-12-02 Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research Yan, Peijing Li, Meixuan Li, Jing Lu, Zhenxing Hui, Xu Bai, Yuping Xun, Yangqin Lao, Yongfeng Wang, Shizhong Yang, Kehu Front Med (Lausanne) Medicine Coronaviruses (CoV) cause respiratory and intestinal infections. We conducted this bibliometric analysis and systematical review to explore the CoV-related research trends from before COVID-19. We systematically searched the Ovid MEDLINE, Ovid Embase, and Web of Science (WOS) databases for published bibliometric analyses of CoV from database inception to January 24, 2021. The WOS Collection was searched from inception to January 31, 2020, to acquire the CoV-related publications before COVID-19. One-Way ANOVA and Bonferroni multiple-comparison tests were used to compare differences. Visualization mapping and keyword cluster graphs were made to illustrate the research topics and hotpots. We included 14,141 CoV-related publications for the bibliometric analysis and 16 (12 articles) CoV-related bibliometric analyses for the systematic review. Both the systematic review and bibliometric analysis showed (1) the number of publications showed two steep upward trajectories in 2003–2004 and in 2012–2014; (2) the research hotpots mainly focused on the mechanism, pathology, epidemiology, clinical diagnosis, and treatment of the coronavirus in MERS-CoV and SARS-Cov; (3) the USA, and China; the University of Hong Kong; and Yuen KY, came from the University of Hong Kong contributed most; (4) the Journal of Virology had the largest number of CoV related studies. More studies should focus on prevention, diagnosis, and treatment in the future. Frontiers Media S.A. 2021-11-16 /pmc/articles/PMC8635101/ /pubmed/34869424 http://dx.doi.org/10.3389/fmed.2021.729138 Text en Copyright © 2021 Yan, Li, Li, Lu, Hui, Bai, Xun, Lao, Wang and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Yan, Peijing
Li, Meixuan
Li, Jing
Lu, Zhenxing
Hui, Xu
Bai, Yuping
Xun, Yangqin
Lao, Yongfeng
Wang, Shizhong
Yang, Kehu
Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title_full Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title_fullStr Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title_full_unstemmed Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title_short Bibliometric Analysis and Systematic Review of Global Coronavirus Research Trends Before COVID-19: Prospects and Implications for COVID-19 Research
title_sort bibliometric analysis and systematic review of global coronavirus research trends before covid-19: prospects and implications for covid-19 research
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635101/
https://www.ncbi.nlm.nih.gov/pubmed/34869424
http://dx.doi.org/10.3389/fmed.2021.729138
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