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基于文献计量学的2019冠状病毒病(COVID-19)研究可视化分析

[Visual analysis of coronavirus disease 2019 (COVID-19) studies based on bibliometrics].

作者信息

Chen Ying, Guo Yi-Bo, Guo Ran, Chen Xiu-Fen, Chang Guan-Hua, Li Xin, Hao Li-Yu, Sun Zhi-Rong, Zhang Zi-Long

机构信息

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2020 May;45(10):2239-2248. doi: 10.19540/j.cnki.cjcmm.20200320.501.

DOI:10.19540/j.cnki.cjcmm.20200320.501
PMID:32495576
Abstract

To analyze the development of coronavirus disease 2019(COVID-19), this study systematically retrieved relevant Chinese and English literatures from both CNKI and Web of Science database platforms by bibliometric research method and CiteSpace 5.5.R2 software to obtain information and visualize relevant literatures. A total of 695 Chinese and 446 English literatures were included in this paper. Statistics showed that China had published most of the literatures and established close cooperation with the United States and the United Kingdom. Through the analysis, Tongji Medical College of Huazhong University of Science and Technology and its affiliated hospitals published the largest number of the publications. Moreover, the highly productive journals including Journal of Traditional Chinese Medicine and The Lancet covered eight major fields, such as medicine, medical virology, radiation medicine, infectious disease, and traditional Chinese medicine. Besides, a total of 35 special COVID-19 funds were recently established to subsidize these studies. The key words and themes analysis indicated that protein structure of COVID-19, receptor targets and mechanisms of action, integration of traditional Chinese and Western medicine, screening and development of antiviral drugs from traditional Chinese medicine and Western medicine, vaccine research as well as epidemiological characteristics and prediction are current study hotspots. This study provides a reference for researchers to rapidly master main study directions of COVID-19 and screen out relevant literatures.

摘要

为分析2019冠状病毒病(COVID-19)的研究发展情况,本研究采用文献计量学研究方法,借助CiteSpace 5.5.R2软件,从中国知网和Web of Science数据库平台系统检索相关中英文文献,以获取信息并对相关文献进行可视化分析。本文共纳入695篇中文文献和446篇英文文献。统计显示,中国发表的文献数量最多,并与美国和英国建立了密切合作。通过分析发现,华中科技大学同济医学院及其附属医院发表的文献数量最多。此外,高产出期刊包括《中医杂志》和《柳叶刀》,涵盖医学、医学病毒学、放射医学、传染病和中医等八个主要领域。此外,最近共设立了35项COVID-19专项基金来资助这些研究。关键词和主题分析表明,COVID-19的蛋白质结构、受体靶点和作用机制、中西医结合、中西医抗病毒药物的筛选与开发、疫苗研究以及流行病学特征与预测是当前的研究热点。本研究为研究人员快速掌握COVID-19的主要研究方向并筛选相关文献提供了参考。

相似文献

1
[Visual analysis of coronavirus disease 2019 (COVID-19) studies based on bibliometrics].基于文献计量学的2019冠状病毒病(COVID-19)研究可视化分析
Zhongguo Zhong Yao Za Zhi. 2020 May;45(10):2239-2248. doi: 10.19540/j.cnki.cjcmm.20200320.501.
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[Analysis of research hotspot and frontier of severe coronavirus disease 2019: visual analysis based on CiteSpace].《2019年重症冠状病毒病研究热点与前沿分析:基于CiteSpace的可视化分析》
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Research Progress of Coronavirus Based on Bibliometric Analysis.基于文献计量分析的冠状病毒研究进展。
Int J Environ Res Public Health. 2020 May 26;17(11):3766. doi: 10.3390/ijerph17113766.
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Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak.绘制新型冠状病毒病(COVID-19)研究态势图:疫情爆发早期的初步文献计量分析。
BMC Infect Dis. 2020 Aug 1;20(1):561. doi: 10.1186/s12879-020-05293-z.
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Twenty-Year Span of Global Coronavirus Research Trends: A Bibliometric Analysis.全球冠状病毒研究趋势的二十年跨度:文献计量分析。
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Coronavirus disease 2019: a bibliometric analysis and review.新型冠状病毒病 2019:文献计量分析与综述。
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Global research trends at the intersection of coronavirus disease 2019 (COVID-19) and traditional, integrative, and complementary and alternative medicine: a bibliometric analysis.全球研究趋势交汇于 2019 年冠状病毒病(COVID-19)与传统、整体、补充和替代医学:文献计量分析。
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Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19).新型冠状病毒病 2019(COVID-19)的引文网络分析。
Int J Environ Res Public Health. 2020 Oct 21;17(20):7690. doi: 10.3390/ijerph17207690.

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A bibliometric analysis of pandemic and epidemic studies in economics: future agenda for COVID-19 research.经济学中关于大流行和流行病研究的文献计量分析:COVID-19研究的未来议程
Soc Sci Humanit Open. 2021;4(1):100165. doi: 10.1016/j.ssaho.2021.100165. Epub 2021 May 3.
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Is rapid scientific publication also high quality? Bibliometric analysis of highly disseminated COVID-19 research papers.快速的科学发表就意味着高质量吗?对广泛传播的新冠病毒研究论文的文献计量分析。
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Iranian researchers' contributions to research on COVID-19: A bibliometric analysis and visualization.伊朗研究人员对新冠病毒研究的贡献:文献计量分析与可视化
Med J Islam Repub Iran. 2021 Feb 16;35:24. doi: 10.47176/mjiri.35.24. eCollection 2021.