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

Letters to the Editor (2) World Wide Web and Social Media in Dermatology (43) Skin Cancer and Melanoma Prevention (112) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1638) Public (e)Health, Digital Epidemiology and Public Health Informatics (717) Infodemiology and Infoveillance (1347)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54439, first published .
Strengthening TikTok Content Analysis in Academia Using Follower Count and Engagement

Strengthening TikTok Content Analysis in Academia Using Follower Count and Engagement

Strengthening TikTok Content Analysis in Academia Using Follower Count and Engagement

Authors of this article:

Serena Ramjee1 Author Orcid Image ;   Zeeshaan-ul Hasan2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Serena Ramjee   1 , MBBS ;   Zeeshaan-ul Hasan   2 , MBBS, BSc

1 Urology Department, Darent Valley Hospital, Dartford, United Kingdom

2 Dermatology Department, Barts Health NHS Trust, London, United Kingdom

Corresponding Author: