Bibliometric analyses of the emerging COVID-19 research old

As the pandemic spreads, a wealth of research is produced to help fight it. To help navigate the research, we offer bibliometric analyses of the research, presented in network graph format. The volume of research is growing rapidly, as shown in the following graph.

Who is this resource useful for:

1) Researchers, 2) Health care personnel, 3) Policymakers and funding bodies, 4) Journalists, and 5) Members of the general public.

The results can be used for different purposes:

Keyword Co-occurrence analysis

  • Offers an overview of the structure of topics investigated, as well relative focus, as measured by size of nodes. The different colours indicate different general research foci.
  • Can help identifying the most relevant search terms. The keywords in the map are those commonly used by article authors, with differences across the research areas. Identifying the most relevant terms can help narrow search to the most relevant articles.

Bibliometric coupling (groups articles based on similarity)

  • Organizes published articles by topics, enables the reader to identify articles within an area.
  • Is a complementary way to identify related research. As not based on search terms, it opens the possibility to make valuable and novel connections between research.

Bibliometric Keyword Co-Occurrence analysis

The graph shows how keywords in published manuscripts are organized, indicating the different areas of research, as well as where the research is conducted. The map offers an overview of all the different research areas.

Bibliometric Coupling analysis

A coupling analysis arrange articles by relatedness as calculated by similarity of their reference lists. When downloaded, the interactive map shows closely related articles, and provide a direct link to the article online.