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Citing this Article

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Published on 11.04.18 in Vol 6, No 4 (2018): April

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

Works citing "Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9199):

(note that this is only a small subset of citations)

  1. Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223
    CrossRef
  2. Crossley SGM, McNarry MA, Eslambolchilar P, Knowles Z, Mackintosh KA. The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study. Journal of Medical Internet Research 2019;21(6):e12067
    CrossRef
  3. Zhou L, DeAlmeida D, Parmanto B. Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study. JMIR mHealth and uHealth 2019;7(7):e13194
    CrossRef
  4. Naraine ML. The Blockchain Phenomenon: Conceptualizing Decentralized Networks and the Value Proposition to the Sport Industry. International Journal of Sport Communication 2019;12(3):313
    CrossRef
  5. Kleiman EM, Glenn CR, Liu RT. Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions. Journal of Clinical Child & Adolescent Psychology 2019;48(6):934
    CrossRef
  6. Guillodo E, Lemey C, Simmonet M, Walter M, Baca Garcia E, Larsen M, Ropars J, Berrouiguet S. Towards ecological sleep monitoring : a systematic review of clinical applications of mHealth wearable based sleep monitoring. (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  7. Mackintosh KA, Chappel SE, Salmon J, Timperio A, Ball K, Brown H, Macfarlane S, Ridgers ND. Parental Perspectives of a Wearable Activity Tracker for Children Younger Than 13 Years: Acceptability and Usability Study. JMIR mHealth and uHealth 2019;7(11):e13858
    CrossRef
  8. Prayaga L, Devulapalli K, Prayaga C. Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms. International Journal of Big Data and Analytics in Healthcare 2019;4(1):32
    CrossRef
  9. Lupton D. ‘Better understanding about what's going on’: young Australians’ use of digital technologies for health and fitness. Sport, Education and Society 2018;:1
    CrossRef
  10. Jia Y, Wang W, Wen D, Liang L, Gao L, Lei J. Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ 2018;6:e5350
    CrossRef