COVID-19 bibliometrics

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This is the repository for the COVID-19 bibliometrics project. The main aim of the project is to deliver regularly updated bibliometric analyses of the structure of the emerging COVID-19 research, published on: http://covid19biblio.com/ Background: 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. Who is this resource useful for: 1) Researchers 2) Health care personnel 3) Policymakers and funding bodies 4) Journalists 5) Members of the general public. Results presented at http://covid19biblio.com/ include: - 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 colors 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.

Files

Loading files...

Citation

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.