Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics is a research paper published in Briefings in Bioinformatics (2020). On theSindex it has a DataRank of 1.5. It has been cited 54 times, with 45 citing works in its 1-hop citation network.
Scored on demand from live citation data
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.601
From this paper's citation signal
Citation Network Contribution
0.929
From 35 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 45 citers.
National Science Foundation
Grant: DMS1713120
National Science Foundation
Grant: DMS1902903
National Institutes of Health
Grant: 3P30AG021342-16S2
Claude D. Pepper Older Americans Independence Center at Yale
National Institutes of Health
Grant: R01GM134005
National Institutes of Health
Grant: 1R01GM122078
National Institutes of Health
Grant: UL1TR000427
NCATS NIH HHS
Grant: UL1 TR002373
National Institutes of Health
Grant: 5R01GM122078-04
Statistical Models for Genetic Studies, Using Network and Integrative Analysis
National Science Foundation
Grant: 1902903
New Statistical Methods for High-Dimensional Association Tests with Applications to Large-Scale Genetic Data
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1R01GM134005-01A1
Novel statistical methods and tools to integrate multiple endophenotypes and functional annotation data to study the roles of rare variants in complex human diseases using sequencing data
National Institutes of Health
Grant: 5UL1TR000427-08
Institutional Clinical and Translational Science Award
National Science Foundation
Grant: 1713120
Misspecified Mixed Model Analysis: Theory and Application
Wellcome Trust
FWCI
3.20
Citation Percentile
0.9%
Citation Trend
Fields of Study
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