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

JMIR Theme Issue: COVID-19 Special Issue (2388) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Epublishing and Open Access (80) Infectious Diseases (non-STD/STI) (1478) Machine Learning (1370) Digital Science, Open Science (69) Scientometrics, Infometrics, and Altmetrics (81)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23703, first published .
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

Authors of this article:

Alaa Abd-Alrazaq1 Author Orcid Image ;   Jens Schneider1 Author Orcid Image ;   Borbala Mifsud2 Author Orcid Image ;   Tanvir Alam1 Author Orcid Image ;   Mowafa Househ1 Author Orcid Image ;   Mounir Hamdi1 Author Orcid Image ;   Zubair Shah1 Author Orcid Image
Article Authors Cited by (28) Tweetations (11) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.