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

mHealth for Wellness, Behavior Change and Prevention (2872) Innovations and Technology for Physical Activity Education (742) Knowledge Translation and Implementation Science (398) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641)

Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12484, first published .
Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis

Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis

Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis

Authors of this article:

Ilea Sanders1 Author Orcid Image ;   Camille E Short2 Author Orcid Image ;   Svetlana Bogomolova3 Author Orcid Image ;   Tyman Stanford4 Author Orcid Image ;   Ronald Plotnikoff5 Author Orcid Image ;   Corneel Vandelanotte6 Author Orcid Image ;   Tim Olds1 Author Orcid Image ;   Sarah Edney1 Author Orcid Image ;   Jillian Ryan1 Author Orcid Image ;   Rachel G Curtis1 Author Orcid Image ;   Carol Maher1 Author Orcid Image
Article Authors Cited by (11) Tweetations (17) Metrics

Journals

  1. Buis L. Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health. Journal of Medical Internet Research 2019;21(11):e16259 View
  2. Kondruk N, Malyar M. Analysis of Cluster Structures by Different Similarity Measures. Cybernetics and Systems Analysis 2021;57(3):436 View
  3. Flaherty T, Domegan C, Anand M. The use of digital technologies in social marketing: a systematic review. Journal of Social Marketing 2021;11(4):378 View
  4. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  5. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  6. Romero-Castro N, Ángeles López-Cabarcos M, Miramontes-Viña V, Ribeiro-Soriano D. Sustainable energy transition and circular economy: The heterogeneity of potential investors in rural community renewable energy projects. Environment, Development and Sustainability 2023 View
  7. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  8. Tobin M, Jones T, Ho Y, Short C. Using photovoice to explore young women’s experiences of behaviour change techniques in physical activity mobile apps. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  9. Lai X, Huang G, Zhao Z, Lin S, Zhang S, Zhang H, Chen Q, Mao N. Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining. Big Data 2023 View

Books/Policy Documents

  1. Ögel Aydın S. Handbook of Research on Cross-Disciplinary Uses of Gamification in Organizations. View