DLLGSOC-PHJun 1, 2023

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

arXiv:2306.03941v17 citationsh-index: 15
Originality Synthesis-oriented
AI Analysis

This study provides insights into how the pandemic influenced research patterns, but it is incremental as it applies existing scientometric methods to new data.

The paper conducted a scientometric analysis of COVID-19 research outputs globally and in Italy, finding that the US and China were the most active countries and that medical-biological fields saw the greatest growth in publications.

The spread of the Sars-COV-2 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 COVID-19 with regard to different aspects. Italy has, unfortunately, 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 according to geographical distance. Moreover, we identified the medical-biological as the fields with the greatest growth in terms of literature production. Furthermore, we also better explored the relationship between the number of citations and variables obtained from the data set (e.g. number of authors per article). 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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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