BioInstruct: instruction tuning of large language models for biomedical natural language processing is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 1.6, placing it in the top 12.7% of the data-sharing corpus. It has been cited 50 times, with 47 citing works in its 1-hop citation network.
Ranks in the top 13% 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
0.590
From this paper's citation signal
Citation Network Contribution
1.0
From 28 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 47 citers.
National Institutes of Health
Grant: 1R01NR020868
National Institutes of Health
Grant: R01MH125027
HSRD VA
Grant: I01 HX003711
NIA NIH HHS
Grant: R01 AG080670
NIDA NIH HHS
Grant: R01 DA056470
NIDA NIH HHS
Grant: R01 DA045816
NINR NIH HHS
Grant: R01 NR020868
National Institutes of Health
Grant: 1R01NR020868-01
Evaluating the impact of U.S. eviction moratoria on acute care use and costs
National Institutes of Health
Grant: 1R01MH125027-01
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
Department of Veterans Affairs
NIMH
National Institute of Nursing Research
US Department of Veterans Affairs Homeless Programs Office
National Institute of Mental Health
VA
NIH
National Center on Homelessness
National Center on Homelessness among Veterans
NINR
US Department of Veterans Affairs Homeless Programs Office
VA
NIH
National Center on Homelessness among Veterans
NIMH
NINR
National Center on Homelessness
FWCI
4.30
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals