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Early research on COVID-19: A bibliometric analysis
Yue Gong(巩玥)1; Ting-can Ma2,3; Yang-yang Xu4; Rui Yang5,6; LLan-jun Gao7; Si-hua Wu8; Jing Li6,9; Ming-liang Yue2; Hui-gang Liang2; Xiao He1; Tao Yun10
2020-08-13
Source PublicationThe Innovation
Volume1Issue:2Pages:100027
Abstract

In December 2019, an outbreak of pneumonia, which was named COVID-2019, emerged as a global health crisis. Scientists worldwide are engaged in attempts to elucidate the transmission and pathogenic mechanisms of the causative coronavirus. COVID-19 was declared a pandemic by the World Health Organization in March 2020, making it critical to track and review the state of research on COVID-19 to provide guidance for further investigations. Here, bibliometric and knowledge mapping analyses of studies on COVID-19 were performed, including more than 1,500 papers on COVID-19 available in the PubMed and China National Knowledge Infrastructure databases from January 1, 2020 to March 8, 2020. In this review, we found that because of the rapid response of researchers worldwide, the number of COVID-19-related publications showed a high growth trend in the first 10 days of February; among these, the largest number of studies originated in China, the country most affected by pandemic in its early stages. Our findings revealed that the epidemic situation and data accessibility of different research teams have caused obvious difference in emphases of the publications. Besides, there was an unprecedented level of close cooperation and information sharing within the global scientific community relative to previous coronavirus research. We combed and drew the knowledge map of the SARS-CoV-2 literature, explored early status of research on etiology, pathology, epidemiology, treatment, prevention, and control, and discussed knowledge gaps that remain to be urgently addressed. Future perspectives on treatment, prevention, and control are also presented to provide fundamental references for current and future coronavirus research.

KeywordCovid-19 Bibliometric Analysis Sars-cov-2 Research Status Knowledge Scape Knowledge Map
MOST Discipline Catalogue理学::生物学 ; 理学::统计学(可授理学、经济学学位)
DOIhttps://doi.org/10.1016/j.xinn.2020.100027
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/11187
Collection中国科学院文献情报中心(北京)_学科咨询服务部
Corresponding AuthorYue Gong(巩玥); Tao Yun
Affiliation1.National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2.Wuhan Library, Chinese Academy of Science, Wuhan 430071, China
3.Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100190, China
4.China Center for Information Industry Development, Beijing 100036, China
5.Key Laboratory of Plant Resources and Beijing Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
6.University of Chinese Academy of Sciences, Beijing 100049, China
7.Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
8.Clinical Medical College, Yangzhou University, Yangzhou, 225001, China
9.CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
10.China Science and Technology Exchange Center, Beijing 100045, China
11.These authors contributed equally
First Author Affilication中国科学院文献情报中心
Corresponding Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Yue Gong,Ting-can Ma,Yang-yang Xu,et al. Early research on COVID-19: A bibliometric analysis[J]. The Innovation,2020,1(2):100027.
APA Yue Gong.,Ting-can Ma.,Yang-yang Xu.,Rui Yang.,LLan-jun Gao.,...&Tao Yun.(2020).Early research on COVID-19: A bibliometric analysis.The Innovation,1(2),100027.
MLA Yue Gong,et al."Early research on COVID-19: A bibliometric analysis".The Innovation 1.2(2020):100027.
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