Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28116, first published .
Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study

Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study

Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study

Journals

  1. Ben Itzhak S, Ricon S, Biton S, Behar J, Sobel J. Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning. Physiological Measurement 2022;43(4):045002 View
  2. Fenton A, Cooper-Ryan A, Hardey M, Ahmed W. Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study. International Journal of Environmental Research and Public Health 2022;19(14):8417 View
  3. Smith S, Sivertsen N, Lines L, De Bellis A. Netnography: A novel methodology for nursing research. Journal of Advanced Nursing 2023;79(11):4207 View
  4. Kozinets R, Gretzel U. Netnography evolved: New contexts, scope, procedures and sensibilities. Annals of Tourism Research 2024;104:103693 View
  5. Kloppenborg K, Price Ball M, Jonas S, Wolf G, Greshake Tzovaras B. Co-designing a wiki-based community knowledge management system for personal science. Royal Society Open Science 2024;11(7) View