Self-report Data Capture

Self-Report Data Capture is a method of collecting health-related data in mobile health applications wherein individuals directly provide information about their own behaviors, symptoms, or experiences through digital interfaces, distinguishing it from passive or sensor-based data collection techniques.

1.5K

Publications

96.6K

Citations

5.9K

Authors

1.8K

Institutions

Publications per year

2017–2026

538

Variants

Self-reported Data CaptureSelf-reported Data Collection

Authors

5.9K

  1. JF
    James Fogarty

    University of Washington, United States

    10 publications · 1.4K citations

    10

    h-index

  2. JC
    James C. Anthony

    Johns Hopkins University, United States

    7 publications · 1.1K citations

    7

    h-index

  3. JK
    John K. Cochran

    University of South Florida, United States

    7 publications · 272 citations

    7

    h-index

  4. SA
    Sean A. Munson

    University of Washington, United States

    7 publications · 734 citations

    7

    h-index

  5. DC
    David C. Mohr

    Northwestern University, United States

    6 publications · 537 citations

    6

    h-index

1–5 of 5.9K

Venues

  1. PLoS ONE

    27 publications · 1.7K citations

    22

    h-index

  2. JMIR mhealth and uhealth

    24 publications · 1.6K citations

    20

    h-index

  3. PubMed

    Repository · 31 publications · 1.3K citations

    18

    h-index

  4. Journal of Medical Internet Research

    18 publications · 1.6K citations

    17

    h-index

  5. Journal of Studies on Alcohol

    15 publications · 1.2K citations

    15

    h-index

1–5