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Citing this Article

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Published on 27.05.16 in Vol 18, No 5 (2016): May

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

Works citing "Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies"

Manal Almalki, Kathleen Gray, Fernando Martin-Sanchez

J Med Internet Res 2016 (May 27); 18(5):e131 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5000):

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

  1. Zhang Y, Li D, Zhang C, Zhang H. Quantified or nonquantified: How quantification affects consumers' motivation in goal pursuit. Journal of Consumer Behaviour 2019;18(2):120
    CrossRef
  2. Stiglbauer B, Weber S, Batinic B. Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in Human Behavior 2019;94:131
    CrossRef
  3. Jin D, Halvari H, Maehle N, Olafsen AH. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2022;41(2):242
    CrossRef
  4. Wu X, Zhao M, Liao H, Sun S. A Scientometric Analysis of Self-tracking in Relation to Artificial Intelligence and Big Data. IOP Conference Series: Materials Science and Engineering 2020;806(1):012014
    CrossRef
  5. Costa Figueiredo M, Caldeira C, Reynolds TL, Victory S, Zheng K, Chen Y. Self-Tracking for Fertility Care. Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  6. Riggare S, Unruh K, Sturr J, Domingos J, Stamford J, Svenningsson P, Hägglund M. Patient-driven N-of-1 in Parkinson’s Disease. Methods of Information in Medicine 2017;56(S 01):e123
    CrossRef
  7. Borda A, Gray K, Fu Y. Research data management in health and biomedical citizen science: practices and prospects. JAMIA Open 2020;3(1):113
    CrossRef
  8. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125
    CrossRef
  9. Almalki M, Gray K, Martin-Sanchez F. Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification. Journal of Medical Internet Research 2017;19(11):e378
    CrossRef
  10. Ng K, Tynjälä J, Kokko S. Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e61
    CrossRef
  11. De Moya J, Pallud J. From panopticon to heautopticon: A new form of surveillance introduced by quantified‐self practices. Information Systems Journal 2020;30(6):940
    CrossRef
  12. Gray K, Martin-Sanchez FJ, Lopez-Campos GH, Almalki M, Merolli M. Person-generated Data in Self-quantification. Methods of Information in Medicine 2017;56(01):40
    CrossRef
  13. Almalki M, Gray K, Martin-Sanchez FJ. Refining the Concepts of Self-quantification Needed for Health Self-management. Methods of Information in Medicine 2017;56(01):46
    CrossRef
  14. Karanasios S, Nardi B, Spinuzzi C, Malaurent J. Moving forward with activity theory in a digital world. Mind, Culture, and Activity 2021;28(3):234
    CrossRef
  15. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171
    CrossRef
  16. Fan X, Fan J, Li J. The Effect of Presentation Characteristics of “Quantified Self” Data on Consumers’ Continuance Participation Intention: An Empirical Study Based on Health-Related Apps. Psychology Research and Behavior Management 2022;Volume 15:2859
    CrossRef
  17. Peterson Fronczek L, Mende M, Scott ML. From self‐quantification to self‐objectification? Framework and research agenda on consequences for well‐being. Journal of Consumer Affairs 2022;56(3):1356
    CrossRef
  18. Trupia DV, Mathieu-Fritz A, Duong TA. The Sociological Perspective of Users’ Invisible Work: A Qualitative Research Framework for Studying Digital Health Innovations Integration. Journal of Medical Internet Research 2021;23(11):e25159
    CrossRef
  19. Lei L, Zhu Y, Liu Q, Xiong F. Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks. Complexity 2021;2021:1
    CrossRef
  20. Lee J, Lee J. The Relationship Between the Characteristics of Self-Tracking Data and User Experience Factors for Data-Driven Product Service System Design. Archives of Design Research 2021;34(3):193
    CrossRef
  21. Lee J, Lee J, Jung E. Proposal of a Reflective Relationship Formation Model between Users and Self-Trackers Based on Data Content Characteristics. Archives of Design Research 2023;36(3):129
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5000):

  1. Gray K, Gilbert C. Advances in Biomedical Informatics. 2018. Chapter 2:5
    CrossRef
  2. Ilhan A, Fietkiewicz KJ. Perspectives on Wearable Enhanced Learning (WELL). 2019. Chapter 16:333
    CrossRef
  3. Han J, Zhao J. 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023). 2023. Chapter 22:171
    CrossRef