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

Infodemiology and Infoveillance (1401) Social Media in Public Health informatics (45) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1714) Infoveillance and Social Listening (222) Infodemiology in Public Health Informatics (24) Quality/Credibility of eHealth Information and Trust Issues (567)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43701, first published .
Characterizing Precision Nutrition Discourse on Twitter: Quantitative Content Analysis

Characterizing Precision Nutrition Discourse on Twitter: Quantitative Content Analysis

Characterizing Precision Nutrition Discourse on Twitter: Quantitative Content Analysis

Authors of this article:

Sapna Batheja1 Author Orcid Image ;   Emma M Schopp2 Author Orcid Image ;   Samantha Pappas1 Author Orcid Image ;   Siri Ravuri2 Author Orcid Image ;   Susan Persky2 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

Journals

  1. Noakes T, Uys C, Harpur P, van Zyl I. A role for qualitative methods in researching Twitter data on a popular science article's communication. Frontiers in Research Metrics and Analytics 2025;9 View
  2. Oono F, Matsumoto M, Ogata R, Suga M, Murakami K. Description of Weight-Related Content and Recommended Dietary Behaviors for Weight Loss Frequently Reposted on X (Twitter) in English and Japanese: Content Analysis. Journal of Medical Internet Research 2025;27:e64739 View