Discovering temporal scientometric knowledge in COVID-19 scholarly production

Abstract

The mapping and analysis of scientific knowledge makes it possible to identify the dynamics and/or growth of a particular field of research or to support strategic decisions related to different research entities, based on bibliometric and/or scientometric indicators. However, with the exponential growth of scientific production, a systematic and data-oriented approach to the analysis of this large set of productions becomes increasingly essential. Thus, in this work, a data-oriented methodology was proposed, combining Data Analysis, Machine Learning and Complex Network Analysis techniques, and Data Version Control (DVC) tool, for the extraction of implicit knowledge in scientific production bases. In addition, the approach was validated through a case study in a COVID-19 manuscripts dataset, which had 199,895 articles published on arXiv, bioRxiv, medRxiv, PubMed and Scopus databases. The results suggest the feasibility of the proposed methodology, indicating the most active countries and the most explored themes in each period of the pandemic. Therefore, this study has the potential to instrument and expand strategic decisions by the scientific community, aiming at extracting knowledge that supports the fight against the COVID-19 pandemic.

Mapping the global research landscape on nutrition and the gut microbiota: Visualization and bibliometric analysis

“…The primary goal of this study is to assess the current state and hotspots in the field of nutrition and gut microbiota by examining the scientific production data set related to nutrition and gut microbiota with the goal of characterisation and understanding it in terms of scientometric indices. Based on bibliometric and/or scientometric indicators, the mapping and analysis of scientific knowledge allow the identification of the dynamics and/or expansion of a specific field of study and the support of strategic decisions related to various research institutions[ 32 ].…”

A scientometric approach to psychological research during the COVID-19 pandemic

“…The results of scientometric studies also show that some of them have investigated the mental and psychological effects of COVID-19 disease (Santos et al, 2022 ; Liu et al, 2022 ). A scientometric study by Liu et al ( 2022 ) showed that the most common keywords in social science research on COVID-19 are related to the field of psychology and mental health.…”

“…(Farooq et al, 2021 ; Tornberg et al, 2021 ; Zhang et al, 2020 ; Casado-Aranda et al, 2021 ). They showed that publications’ content covers a wide range of topics (Colavizza et al, 2021 ), which requires a comprehensive and in-depth approach with emphasis on different disciplines in the research on COVID-19 (Aristovnik et al, 2020 ; Santos et al, 2022 ). But, a closer look shows that scientometric studies have focused on medical aspects, and social science research has been neglected (Liu et al, 2022 ).…”