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A scientometric overview of CORD-19.

Giovanni Colavizza1, Rodrigo Costas2, Vincent A Traag2

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The COVID-19 dataset (CORD-19) offers comprehensive coverage of coronavirus research, including general virology. While valuable, be aware it extends beyond just COVID-19 and coronavirus studies.

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Area of Science:

  • Virology
  • Bibliometrics
  • Public Health

Background:

  • The COVID-19 pandemic spurred a global research response, necessitating effective information retrieval from scientific literature.
  • The COVID-19 Open Research Dataset (CORD-19) was created to facilitate mining and searching of relevant publications.
  • Scientometric analysis is crucial for understanding the scope and coverage of large research datasets.

Purpose of the Study:

  • To conduct a scientometric analysis of the publications included in the CORD-19 dataset.
  • To evaluate the coverage of CORD-19 in relation to the Web of Science database.
  • To identify the primary research areas and themes within the CORD-19 dataset.

Main Methods:

  • Comparative analysis of CORD-19 against the Web of Science database.
  • Scientometric evaluation of publication scope and content.
  • Identification and categorization of research topics within CORD-19.

Main Results:

  • CORD-19 demonstrates nearly complete coverage of COVID-19 and coronavirus research.
  • The dataset encompasses broader research on viruses in general.
  • Key research areas include coronaviruses (SARS-CoV, MERS-CoV, SARS-CoV-2), public health, viral molecular biology, influenza, immunology, antivirals, and clinical medicine.
  • 2020 publications, particularly editorials and letters, show high social media engagement.

Conclusions:

  • CORD-19 is a valuable resource providing extensive coverage of coronavirus and related viral research.
  • The dataset's scope extends beyond immediate COVID-19 and coronavirus research, including general virology.
  • Understanding the dataset's breadth is essential for accurate research mining and tool development.