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Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research

Human coronaviruses, which can cause a range of infectious diseases, have been studied for nearly 60 years. The field has gained renewed interest from researchers around the world due to the COVID-19 outbreak in late 2019. Despite a large amount of research, little is known about the knowledge struc...

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Detalles Bibliográficos
Autores principales: Deng, Ziqin, Chen, Junsheng, Wang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538618/
https://www.ncbi.nlm.nih.gov/pubmed/33072630
http://dx.doi.org/10.3389/fcimb.2020.581404
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author Deng, Ziqin
Chen, Junsheng
Wang, Ting
author_facet Deng, Ziqin
Chen, Junsheng
Wang, Ting
author_sort Deng, Ziqin
collection PubMed
description Human coronaviruses, which can cause a range of infectious diseases, have been studied for nearly 60 years. The field has gained renewed interest from researchers around the world due to the COVID-19 outbreak in late 2019. Despite a large amount of research, little is known about the knowledge structure and developing trends of this topic. Here, we apply bibliometric analysis along with visualization tools to analyze 15,207 publications related to human coronavirus from the Scopus database, using indicators on publication and citation, journal, country or territory, affiliation and international cooperation, author, and keyword co-occurrence cluster. The results show that research on human coronavirus is dominated by SARS-CoV. Although there have been many publications, only 626 publications (4.1% of total) have more than 100 citations. The top 20 journals with most publications account for 20.6% of total publications and 41% of total citations. In addition to the United States and some European countries, many Asian and African countries are involved in this research, with China holding an important position in this area. Leading researchers from various fields of human coronavirus research are listed to facilitate collaboration and promote effective disease prevention and control. The keywords co-occurrence analysis reveals that the research focus on virology, public health, drugs and other hotspot fields, and uncovers changes in the direction of coronavirus research. The research map on human coronavirus obtained by our analysis are expected to help researchers to efficiently and effectively explore COVID-19.
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spelling pubmed-75386182020-10-15 Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research Deng, Ziqin Chen, Junsheng Wang, Ting Front Cell Infect Microbiol Cellular and Infection Microbiology Human coronaviruses, which can cause a range of infectious diseases, have been studied for nearly 60 years. The field has gained renewed interest from researchers around the world due to the COVID-19 outbreak in late 2019. Despite a large amount of research, little is known about the knowledge structure and developing trends of this topic. Here, we apply bibliometric analysis along with visualization tools to analyze 15,207 publications related to human coronavirus from the Scopus database, using indicators on publication and citation, journal, country or territory, affiliation and international cooperation, author, and keyword co-occurrence cluster. The results show that research on human coronavirus is dominated by SARS-CoV. Although there have been many publications, only 626 publications (4.1% of total) have more than 100 citations. The top 20 journals with most publications account for 20.6% of total publications and 41% of total citations. In addition to the United States and some European countries, many Asian and African countries are involved in this research, with China holding an important position in this area. Leading researchers from various fields of human coronavirus research are listed to facilitate collaboration and promote effective disease prevention and control. The keywords co-occurrence analysis reveals that the research focus on virology, public health, drugs and other hotspot fields, and uncovers changes in the direction of coronavirus research. The research map on human coronavirus obtained by our analysis are expected to help researchers to efficiently and effectively explore COVID-19. Frontiers Media S.A. 2020-09-23 /pmc/articles/PMC7538618/ /pubmed/33072630 http://dx.doi.org/10.3389/fcimb.2020.581404 Text en Copyright © 2020 Deng, Chen and Wang. http://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 Cellular and Infection Microbiology
Deng, Ziqin
Chen, Junsheng
Wang, Ting
Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title_full Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title_fullStr Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title_full_unstemmed Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title_short Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research
title_sort bibliometric and visualization analysis of human coronaviruses: prospects and implications for covid-19 research
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538618/
https://www.ncbi.nlm.nih.gov/pubmed/33072630
http://dx.doi.org/10.3389/fcimb.2020.581404
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