Citation advantage of COVID-19-related publications

被引:5
|
作者
Liu, Weishu [1 ]
Huangfu, Xuping [1 ]
Wang, Haifeng [2 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Informat Management & Artificial Intelligence, Hangzhou, Peoples R China
[2] Shanghai Int Studies Univ, Sch Business & Management, Shanghai 200083, Peoples R China
基金
中国国家自然科学基金;
关键词
Bibliometric analysis; citation advantage; COVID-19; highly cited paper; Web of Science; UNITED-STATES; IMPACT FACTOR; CHINA; ARTICLES;
D O I
10.1177/01655515231174385
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of COVID-19-related papers in a short period of time may bring unexpected influence to some commonly used bibliometric indicators. By a large-scale investigation using Science Citation Index Expanded and Social Sciences Citation Index, this brief communication confirms the citation advantage of COVID-19-related papers empirically through the lens of Essential Science Indicators' highly cited paper. More than 8% of COVID-19-related papers published during 2020 and 2021 were selected as Essential Science Indicators highly cited papers, which was much higher than the set global benchmark value of 1%. The citation advantage of COVID-19-related papers for different Web of Science categories/countries/journal impact factor quartiles was also demonstrated. The distortions of COVID-19-related papers' citation advantage to some bibliometric indicators such as journal impact factor were discussed at the end of this brief communication.
引用
收藏
页数:7
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