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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Data Science (232) Infodemiology and Infoveillance (1278)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43521, first published .
An Exploratory Study of Medical Journal’s Twitter Use: Metadata, Networks, and Content Analyses

An Exploratory Study of Medical Journal’s Twitter Use: Metadata, Networks, and Content Analyses

An Exploratory Study of Medical Journal’s Twitter Use: Metadata, Networks, and Content Analyses

Authors of this article:

Donghun Kim1 Author Orcid Image ;   Woojin Jung2 Author Orcid Image ;   Ting Jiang2 Author Orcid Image ;   Yongjun Zhu1 Author Orcid Image
Article Authors Cited by (4) Tweetations (16) Metrics

Journals

  1. Bessler J, Fazzone W, Sladicka N, Ruth A. Understanding US healthcare provider preferences for consumption of publication content: opportunities to leverage omnichannel approaches. Current Medical Research and Opinion 2023;39(9):1271 View
  2. Shcherbakova N, Desselle S, Bandiera C, Canedo J, Law A, Aslani P. Drivers of citations in social pharmacy and practice research articles. Research in Social and Administrative Pharmacy 2024;20(7):590 View
  3. Timpka T. Time for Medicine and Public Health to Leave Platform X. JMIR Medical Education 2024;10:e53810 View
  4. Ramamoorthy T, Kulothungan V, Mappillairaju B. Exploring stroke discourse on Twitter through content and network analysis among Indian users. Scientific Reports 2024;14(1) View