Self-tracking Data

Self-Tracking Data is a systematic record of personally collected observational or measured health-related information, distinguished by its origin in individual-driven monitoring of physiological, behavioral, or experiential states over time.

189

Publications

13.3K

Citations

499

Authors

219

Institutions

Publications per year

2017–2026

131

Authors

499

  1. DA
    Daniel A. Epstein

    University of California, Irvine, United States

    12 publications · 1.2K citations

    12

    h-index

  2. DL
    Deborah Lupton

    UNSW Sydney, Australia

    9 publications · 1.2K citations

    9

    h-index

  3. JF
    James Fogarty

    University of Washington, United States

    8 publications · 1.2K citations

    8

    h-index

  4. MR
    Minna Ruckenstein

    University of Helsinki, Finland

    7 publications · 654 citations

    7

    h-index

  5. EK
    Eun Kyoung Choe

    University of Maryland, College Park, United States

    7 publications · 1.3K citations

    7

    h-index

1–5 of 499

Venues

  1. 6

    h-index

  2. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 5 publications · 243 citations

    5

    h-index

  3. Sociology of Health & Illness

    5 publications · 171 citations

    5

    h-index

  4. Digital Health

    4 publications · 193 citations

    4

    h-index

  5. Journal of Medical Internet Research

    4 publications · 414 citations

    4

    h-index

1–5