Self-tracking Analytics
Self-Tracking Analytics is a methodological framework within mobile health analytics that enables individuals to systematically collect, analyze, and interpret personal physiological, behavioral, and contextual data through digital devices to monitor and improve health outcomes over time.
36
Publications
4.4K
Citations
112
Authors
47
Institutions
Publications per year
2017–2026
23
Parents
36
Rui Wang, Fanglin Chen, Zhenyu Chen et al. · 2014 · 1.1K citations
Melanie Swan · International Journal of Environmental Research and Public Health · 2009 · 746 citations · Full text
Broken data: Conceptualising data in an emerging world
Sarah Pink, Minna Ruckenstein, Robert Willim et al. · Big Data & Society · 2018 · 200 citations · Full text
Self-tracking in the Digital Era
Rachel Sanders · Body & Society · 2016 · 188 citations
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47
University of Washington
Seattle, United States
3 h-index
17 publications
997 citations
Futures Group (United States)
Washington D.C., United States
2 h-index
2 publications
1.7K citations
Qatar Airways (Qatar)
Doha, Qatar
2 h-index
3 publications
83 citations
University of California, Irvine
Irvine, United States
2 h-index
3 publications
81 citations
The University of Texas at Austin
Austin, United States
2 h-index
8 publications
1.3K citations
Columbia University
New York, United States
2 h-index
4 publications
201 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
432 citations

The Open University
Milton Keynes, United Kingdom
1 h-index
1 publications
67 citations
1–8 of 47
2 publications · 1K citations
2
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1 publications · 13 citations
1
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1 publications · 23 citations
1
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1 publications · 111 citations
1
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1 publications · 188 citations
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