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

JMIR Theme Issue: COVID-19 Special Issue (2238) Digital Science, Open Science (55) Epublishing and Open Access (68) Outbreak and Pandemic Preparedness and Management (1529) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1385)

Published on in Vol 22 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21559, first published .
Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study

Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study

Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study

Authors of this article:

Andreas Älgå 1, 2 Author Orcid Image ;   Oskar Eriksson 3 Author Orcid Image ;   Martin Nordberg 1 Author Orcid Image
Article Authors Cited by (34) Tweetations (11) Metrics

Andreas Älgå   1, 2 , MD, PhD ;   Oskar Eriksson   3 , BSc ;   Martin Nordberg   1 , MD, PhD

1 Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden

2 Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden

3 DataRobot Inc, Stockholm, Sweden

Corresponding Author:

  • Andreas Älgå, MD, PhD
  • Department of Clinical Science and Education, Södersjukhuset
  • Karolinska Institutet
  • Sjukhusbacken 10
  • Stockholm, 118 83
  • Sweden
  • Phone: 46 8 616 10 00
  • Email: andreas.alga@ki.se