This paper is in the following e-collection/theme issue:

Scientometrics, Infometrics, and Altmetrics (94) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Epublishing and Open Access (86)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40011, first published .
Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis

Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis

Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis

Authors of this article:

Maider San Torcuato1 Author Orcid Image ;   Núria Bautista-Puig2, 3 Author Orcid Image ;   Olatz Arrizabalaga1 Author Orcid Image ;   Eva Méndez2 Author Orcid Image
Article Authors Cited by (2) Tweetations (13) Metrics

Journals

  1. Lin L, Chen Y. Evolution of Chinese original-innovation talent policies: a topic modelling approach. Technology Analysis & Strategic Management 2023:1 View
  2. Cai Q, Pan Y, Deng B, Hu W, He Z, Zhang X, Tang W, Liu T, Lan X. Global research on emerging trends of obstetrics during the COVID-19 pandemic: A bibliometric analysis. Medicine 2024;103(31):e39182 View