Ten simple rules to leverage large language models for getting grants is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0.396. It has been cited 13 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
0.396
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 →National Heart, Lung, and Blood Institute
Grant: 1K01HL144607
American Heart Association
Grant: 20AMFDP35430002
Doris Duke Charitable Foundation
Grant: 2022051
NHLBI NIH HHS
Grant: K01 HL144607
National Institutes of Health
Grant: 5K01HL144607-04
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)
FWCI
9.42
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
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