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

Mobile Health (mhealth) (2982) mHealth for Wellness, Behavior Change and Prevention (2922) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377)

Published on in Vol 19, No 6 (2017): June

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Authors of this article:

Quinn Grundy1 Author Orcid Image ;   Fabian P Held2 Author Orcid Image ;   Lisa A Bero1 Author Orcid Image
Article Authors Cited by (36) Tweetations (23) Metrics

Quinn Grundy   1 , RN, PhD ;   Fabian P Held   2 , PhD ;   Lisa A Bero   1 , PhD

1 Charles Perkins Centre, Faculty of Pharmacy, The University of Sydney, Sydney, Australia

2 Charles Perkins Centre, Faculty of Science, The University of Sydney, Sydney, Australia

Corresponding Author:

  • Quinn Grundy, RN, PhD
  • Charles Perkins Centre
  • Faculty of Pharmacy
  • The University of Sydney
  • D17, Level 6 The Hub
  • Charles Perkins Centre
  • Sydney, 2006
  • Australia
  • Phone: 61 286271566
  • Fax: 61 286271601
  • Email: quinn.grundy@sydney.edu.au