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

Evidence: Original Papers (44) Peer-to-Peer Support and Online Communities (482) Smoking Cessation (452)

Published on in Vol 10 , No 3 (2018) :Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9745, first published .
Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Authors of this article:

Sahiti Myneni 1 Author Orcid Image ;   Vishnupriya Sridharan 1 Author Orcid Image ;   Nathan Cobb 2 Author Orcid Image ;   Trevor Cohen 1 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Sahiti Myneni   1 , MSE, PhD ;   Vishnupriya Sridharan   1 , MS, ;   Nathan Cobb   2 , MD ;   Trevor Cohen   1 , MBChB, PhD

1 School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, US

2 Georgetown University Medical Center, Washington, DC, US

Corresponding Author:

  • Sahiti Myneni, MSE, PhD
  • School of Biomedical Informatics
  • University of Texas Health Science Center at Houston
  • 7000 Fannin Street, Suite 165
  • Houston, TX
  • US
  • Phone: 1 713 486 0115
  • Fax: 1 646 349 4081
  • Email: Sahiti.Myneni@uth.tmc.edu