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

Infodemiology and Infoveillance (1382) Social Media in Public Health informatics (41) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1690) Infoveillance and Social Listening (218) Infodemiology in Public Health Informatics (24) Quality/Credibility of eHealth Information and Trust Issues (557)

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 (1) Tweetations (8) Metrics

Sapna Batheja   1 , LDN, RDN, PhD ;   Emma M Schopp   2 , BS ;   Samantha Pappas   1 , MS ;   Siri Ravuri   2 , BS ;   Susan Persky   2 , PhD

1 Department of Nutrition and Food Studies, George Mason University, Fairfax, VA, United States

2 Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, United States

Corresponding Author:

  • Susan Persky, PhD
  • Social and Behavioral Research Branch
  • National Human Genome Research Institute
  • 31 Center Drive
  • B1B36
  • Bethesda, MD, 20892
  • United States
  • Phone: 1 3014430098
  • Email: perskys@mail.nih.gov