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

JMIR Theme Issue: COVID-19 Special Issue (2520) Outbreak and Pandemic Preparedness and Management (1804) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1539) Epublishing and Open Access (98) Infectious Diseases (non-STD/STI) (1681) Machine Learning (1896) Digital Science, Open Science (87) Scientometrics, Infometrics, and Altmetrics (114)

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
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Sven Awege Sven Awege @SVENNIECO

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis https://t.co/N0VtIUzqCL

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Latin America is one of the worst hit areas by #COVID19 yet no Latin American country ranks among the top 10 in num… https://t.co/JeZEJji2jO

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DigitalPsychology DigitalPsychology @DigitalPsyc

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