Digital Mood Monitoring
Digital Mood Monitoring is a computational method within mood assessment that distinguishes itself by leveraging digital tools and data streams—such as mobile sensor data, self-reports, or social media activity—to systematically collect, analyze, and interpret indicators of an individual’s affective states in real time or over time.
56
Publications
3.5K
Citations
311
Authors
145
Institutions
Publications per year
2017–2026
32
Parents
56
Digital transformation of mental health services
Raymond Bond, Maurice Mulvenna, Courtney Potts et al. · npj Mental Health Research · 2023 · 171 citations · Full text
Health Professions, Health Informatics, Behavioral Health +13
Elizabeth L. Murnane, Dan Cosley, Pamara F. Chang et al. · Journal of the American Medical Informatics Association · 2016 · 147 citations · Full text
Medicine, Psychiatry, Psychology +17
1–5 of 56
311
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145
Rigshospitalet
Copenhagen, Denmark
5 h-index
26 publications
1.5K citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
8 publications
352 citations
University of Copenhagen
Copenhagen, Denmark
4 h-index
16 publications
730 citations

The University of Melbourne
Melbourne, Australia
4 h-index
10 publications
1.4K citations

University of Toronto
Toronto, Canada
4 h-index
11 publications
156 citations
King's College London
London, United Kingdom
4 h-index
20 publications
542 citations

IT University of Copenhagen
Copenhagen, Denmark
3 h-index
5 publications
360 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
2 publications
135 citations
1–8 of 145
8 publications · 368 citations
8
h-index
2 publications · 38 citations
2
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JMH · 1 publications · 26 citations
2
h-index
2 publications · 159 citations
2
h-index
2 publications · 38 citations
2
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1–5