A scientometric analysis of the effect of COVID-19 on the spread of research outputs

被引:0
|
作者
Zammarchi G. [1 ]
Carta A. [1 ]
Columbu S. [2 ]
Frigau L. [1 ]
Musio M. [2 ]
机构
[1] Department of Economics and Business Science, University of Cagliari, Cagliari
[2] Dipartimento di Matematica e Informatica, Università degli Studi di Cagliari, Via Ospedale 72, Cagliari
关键词
Citations; COVID-19; MCA; Quantile regression; Scientometric analysis;
D O I
10.1007/s11135-023-01742-4
中图分类号
学科分类号
摘要
The spread of the COVID-19 pandemic in 2020 had a huge impact on the life course of all of us. This rapid spread has also caused an increase in the research production in topics related to different aspects of COVID-19. Italy has been one of the first countries to be massively involved in the outbreak of the disease. In this paper, we present an extensive scientometric analysis of the research production both at global (entire literature produced in the first 2 years after the beginning of the pandemic) and local level (COVID-19 literature produced by authors with an Italian affiliation). Our results showed that US and China are the most active countries in terms of number of publications and that the number of collaborations between institutions varies depending on geographical distance. Moreover, we identified the medical-biological as the field with the greatest growth in terms of literature production. As regards the analysis focused on Italy, we have shown that most of the collaborations follow a geographical pattern, both externally (with a preference for European countries) and internally (two clusters of institutions, north versus center-south). Furthermore, we explored the relationship between the number of citations and variables obtained from the data set (e.g. number of authors). Using multiple correspondence analysis and quantile regression we shed light on the role of journal topics and impact factor, the type of article, the field of study and how these elements affect citations. © The Author(s) 2023.
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页码:2265 / 2287
页数:22
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