Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data is a dataset published in Frontiers in Genetics (2021). On theSindex it has a DataRank of 0.422, placing it in the top 43.9% of the data-sharing corpus. It has been cited 8 times, with 6 citing works in its 1-hop citation network.
Ranks in the top 44% for downstream scientific impact
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
0.330
From this paper's citation signal
Citation Network Contribution
0.0925
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
NHGRI NIH HHS
Grant: R01 HG008773
National Institutes of Health
Grant: 5R01HG008773-03
Statistical and computational methods for rare variant association analysis
National Institutes of Health
Ministry of Science and ICT, South Korea
National Research Foundation of Korea
FWCI
0.76
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals