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Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics.
Mengjia Wu1, Yi Zhang1, Mark Grosser2
1Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.
Frontiers in Research Metrics and Analytics
|June 10, 2021
Summary
This bibliometric analysis of COVID-19 genetic research reveals key institutions, topics, and genes like ACE2 and IL6. Emerging genes such as FURIN and CXCL10 are also identified, aiding future research and policy.
Area of Science:
- Genomics
- Virology
- Public Health
- Bibliometrics
Background:
- The COVID-19 pandemic presents a significant global threat impacting public health and economies.
- Understanding SARS-CoV-2 genetics is crucial for disease control.
- Previous coronaviruses provide a basis for COVID-19 genetic research.
Purpose of the Study:
- To conduct a multi-dimensional bibliometric analysis of 5,632 COVID-19 genetic research papers.
- To identify key research institutions, dominant topics, and evolving research directions.
- To highlight frequently studied and emerging genes related to COVID-19.
Main Methods:
- Utilized traditional and intelligent bibliometric methods.
- Analyzed 5,632 research papers on COVID-19 genetics.
- Mapped research collaborations, topic clusters, and gene significance.
Main Results:
- Top research institutions are from the United States, China, Britain, and Canada.
- Predominant research areas include virus infection mechanisms, testing, immune responses, and clinical manifestations.
- Key genes identified are ACE2, IL6, TMPRSS2, and TNF, with emerging genes including FURIN, CXCL10, OAS1, OAS2, OAS3, and ISG15.
Conclusions:
- Bibliometric tools can effectively track the rapidly evolving field of COVID-19 genetics.
- Findings provide evidence for science policy and public health administration decisions.
- Further research into identified genes can advance understanding and control of COVID-19.
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