Questions to the Article: A Global Overview of COVID-19 Research in the Pediatric Field (Preprint)
UNSTRUCTURED The article, published on 23 July 2021, is well-written and of interest, but remains several questions that are required for clarifications, such as (1) the static choropleth map of collaboration analysis between countries should be dynamically visualized and highlighted by top three countries on their publications and author collaboration characteristics; (2) the research achievements in authors, institutes, and countries should be quantified by author-weighted scheme considering author order in article bylines; and (3) keyword analysis was too simple to identify the difference in article types between countries. We downloaded 2,268 abstracts from the Pubmed database with a search string of (COVID-19[MeSH Major Topic]) AND (pediatrics[Affiliation]), similar to the mentioned study, and displayed (1) choropleth maps highlighted by the most productive and highly author-collaborated countries, and (2)forest plot to identify differences in article types between two countries. The medical subject headings(MeSH terms) were used to denote the article types in articles. We observed that (1) three top productive countries were the United States, Italy, and India; (2) three top countries collaborated the authors affiliated with the US were Canada, the United Kingdom, and Italy; and (3) only the MeSH term of epidemiology presents the difference in article types between the US and India when the top 10 most frequently occurred MeSH terms were compared. We produced the dashboard-type visualizations to provide valuable information for readers. The novel visual representations make data clear with a better understanding of bibliographic analysis. The methods used in this study are recommended for future studies, not just limited to the field of COVID-19 research.