What is it about?
- Bibliometric analysis of scientific literature – analysing a ‘snapshot in time’ of the first wave of COVID-19. - The results are compared with all available data records on pandemics and epidemics from 1900 to 2020. - This has created interesting findings that are presented in the article with visualisation tools. With the global focus on the pandemic, the data records are changing dramatically. Since research data records are often categorised by year and not by months, it could be challenging for researchers to find scientific data and to model, with precision, the research response at different stages of the pandemic.
Photo by Simon Berger on Unsplash
Why is it important?
Our objectives are to use computable statistical methods, to conduct bibliometric data mining on scientific research records and to answer some emerging questions on COVID-19. In the study, we investigate: 1. What country produced the most research papers on Covid-19 since the pandemic started? 2. What universities and companies are publishing research on Covid-19? 3. Which countries/universities collaborated most in research papers on Covid-19? After identifying the answers to these research questions, we focus on a new set of research questions: 4. What country produced the most research papers on pandemic and epidemics from 1900 to 2020? 5. What universities and companies have published most research on pandemic and epidemics from 1900 to 2020? 6. Which countries/universities collaborated most in research papers on pandemic and epidemics from 1900 to 2020? We use a variety of statistical methods (e.g. three-fields plot, factorial analyse, historical analysis, network map analysis, etc.) to compare the findings from these questions.
Read the Original
This page is a summary of: What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?, Annals of Data Science, June 2022, Springer Science + Business Media, DOI: 10.1007/s40745-022-00406-8.
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