Longitudinal Data Tracking
Longitudinal Data Tracking is a methodological framework within chronic disease registry management that enables the systematic, continuous collection and monitoring of individual-level health data over extended time periods to capture temporal patterns and disease progression.
388
Publications
23.9K
Citations
1.8K
Authors
741
Institutions
Publications per year
2017–2026
182
388
Tyler W. Watts, Greg J. Duncan, Robert S. Siegler et al. · Educational Researcher · 2014 · 548 citations · Full text
Education, Educational Psychology, Mathematics Education +12
A longitudinal big data approach for precision health
Sophia Miryam Schüssler‐Fiorenza Rose, Kévin Contrepois, Kegan Moneghetti et al. · Nature Medicine · 2019 · 505 citations · Full text
Patterns of Errors Contributing to Trauma Mortality
Russell L. Gruen, Gregory J. Jurkovich, Lisa McIntyre et al. · Annals of Surgery · 2006 · 450 citations · Full text
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741
University College London
London, United Kingdom
10 h-index
24 publications
753 citations
University of Michigan
Ann Arbor, United States
10 h-index
15 publications
1.5K citations

University of Groningen
Groningen, The Netherlands
10 h-index
24 publications
1.1K citations
Harvard University
Cambridge, United States
10 h-index
23 publications
1.2K citations
Columbia University
New York, United States
8 h-index
16 publications
867 citations
University of Washington
Seattle, United States
8 h-index
9 publications
997 citations
IZA - Institute of Labor Economics
Bonn, Germany
7 h-index
7 publications
345 citations
Stanford University
Stanford, United States
7 h-index
32 publications
12.5K citations
1–8 of 741
13 publications · 531 citations
12
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Repository · 16 publications · 608 citations
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Repository · 7 publications · 196 citations
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Repository · 6 publications · 399 citations
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6 publications · 254 citations
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