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
1.5K
Hettie A. Richardson, Marcia J. Simmering, Michael C. Sturman · Organizational Research Methods · 2009 · 1.6K citations · Full text
1–5 of 1.5K
5.9K
10
h-index
7
h-index
7
h-index
7
h-index
6
h-index
1–5 of 5.9K
1.8K
University of Washington
Seattle, United States
26 h-index
117 publications
12.5K citations
Harvard University
Cambridge, United States
21 h-index
96 publications
8K citations
Stanford University
Stanford, United States
18 h-index
38 publications
2.2K citations
University of Michigan
Ann Arbor, United States
18 h-index
62 publications
2.5K citations

Johns Hopkins University
Baltimore, United States
17 h-index
55 publications
5.6K citations

University of Toronto
Toronto, Canada
17 h-index
53 publications
2.2K citations
Michigan State University
East Lansing, United States
16 h-index
31 publications
2.9K citations

The University of Queensland
Brisbane, Australia
15 h-index
39 publications
1.5K citations
1–8 of 1.8K
27 publications · 1.7K citations
22
h-index
24 publications · 1.6K citations
20
h-index
Repository · 31 publications · 1.3K citations
18
h-index
18 publications · 1.6K citations
17
h-index
15 publications · 1.2K citations
15
h-index
1–5