SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data is a research paper published in Frontiers in Genetics (2021). On theSindex it has a DataRank of 0.316. It has been cited 5 times, with 4 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0.0468
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
National Institutes of Health
Grant: 5U54AG052427-05
Coordinating Center for Genetics and Genomics of Alzheimer's Disease (CGAD)
National Science Foundation
Grant: 1760374
FRG: Collaborative Research: Randomization as a Resource for Rapid Prototyping
National Institutes of Health
Grant: 5U24AG041689-07
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITE
National Institutes of Health
Grant: 5P01CA142538-09
Statistical Methods for Cancer Clinical Trials
National Science Foundation
Grant: 2103093
PostDoctoral Research Fellowship
FWCI
0.44
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals