BiomedRAG: A retrieval augmented large language model for biomedicine is a research paper published in Journal of Biomedical Informatics (2025). On theSindex it has a DataRank of 0.593. It has been cited 51 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.593
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 Institute on Aging
Grant: R01AG078154
National Institutes of Health National Cancer Institute
Grant: R01CA287413
National Center for Complementary and Integrative Health
Grant: R01AT009457
NIDDK NIH HHS
Grant: R01 DK115629
NCATS NIH HHS
Grant: UL1 TR001863
NIMHD NIH HHS
Grant: R21 MD019134
NCCIH NIH HHS
Grant: U01 AT012871
National Institutes of Health
Grant: 5R01CA287413-02
SCH: A New Computational Framework for Learning from Imbalanced Biomedical Data
National Institutes of Health
Grant: 5R01AT009457-07
A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements
National Institutes of Health
FWCI
53.01
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords