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

Authors

311

  1. JE
    Jakob E. Bardram

    Technical University of Denmark, Denmark

    7 publications · 374 citations

    7

    h-index

  2. LV
    Lars Vedel Kessing

    Rigshospitalet, Denmark

    7 publications · 374 citations

    7

    h-index

  3. MF
    Maria Faurholt‐Jepsen

    Rigshospitalet, Denmark

    7 publications · 374 citations

    7

    h-index

  4. MF
    Mads Frost

    Rigshospitalet, Denmark

    7 publications · 374 citations

    7

    h-index

  5. MV
    Maj Vinberg

    Rigshospitalet, Denmark

    6 publications · 355 citations

    6

    h-index

1–5 of 311

Venues

  1. Journal of Affective Disorders

    8 publications · 368 citations

    8

    h-index

  2. Frontiers in Psychiatry

    2 publications · 38 citations

    2

    h-index

  3. JMIR Mental Health

    JMH · 1 publications · 26 citations

    2

    h-index

  4. Bipolar Disorders

    2 publications · 159 citations

    2

    h-index

  5. JMIR Formative Research

    2 publications · 38 citations

    2

    h-index

1–5