Genome-Wide Regression and Prediction with the BGLR Statistical Package is a research paper published in Genetics (2014). On theSindex it has a DataRank of 1.1. It has been cited 1,717 times.
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.
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Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01GM099992-02
Factors Affecting Prediction Accuracy of Complex Human Traits and Diseases
National Institutes of Health
Grant: 1R01GM101219-01
Statistical Tools for Whole-Genome Prediction of Complex Traits and Diseases
NIGMS NIH HHS
Grant: R01 GM099992
NIGMS NIH HHS
Grant: R01 GM101219
FWCI
31.35
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals