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
Parents
189
Understanding quantified-selfers' practices in collecting and exploring personal data
Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee et al. · 2014 · 770 citations
A lived informatics model of personal informatics
Daniel A. Epstein, An Ping, James Fogarty et al. · 2015 · 493 citations · Full text
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499
12
h-index
9
h-index
8
h-index
7
h-index
7
h-index
1–5 of 499
219
University of Washington
Seattle, United States
15 h-index
74 publications
9.8K citations
University of California, Irvine
Irvine, United States
13 h-index
43 publications
2.7K citations

University of Helsinki
Helsinki, Finland
7 h-index
10 publications
854 citations

UNSW Sydney
Sydney, Australia
6 h-index
6 publications
372 citations
University of Maryland, College Park
College Park, United States
6 h-index
9 publications
393 citations
Microsoft (United States)
Redmond, United States
5 h-index
7 publications
2.4K citations
University of Copenhagen
Copenhagen, Denmark
5 h-index
10 publications
525 citations
National Consumer Research Centre
Helsinki, Finland
5 h-index
8 publications
496 citations
1–8 of 219
IMWUT · 6 publications · 525 citations
6
h-index
PACMHCI · 5 publications · 243 citations
5
h-index
5 publications · 171 citations
5
h-index
4 publications · 193 citations
4
h-index
4 publications · 414 citations
4
h-index
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