Machine Learning Approaches for the Prediction Bone Mineral Density by using genomic and phenotypic data of 5,130 older Men is a dataset published in medRxiv (2020). On theSindex it has a DataRank of 0.266, placing it in the top 58.5% of the data-sharing corpus. It has been cited 3 times, with 2 citing works in its 1-hop citation network.
Ranks in the top 59% 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
0.208
From this paper's citation signal
Citation Network Contribution
0.0579
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
National Institutes of Health
Grant: 1R15MD010475-01A1
Developing Model-based Bone Density Reference Values for African-American Women
National Institutes of Health
Grant: 3P20GM121325-03S1
Microglial gene regulation and phagocytosis in prodromal Alzheimer's Disease
Fields of Study
Keywords
Sustainable Development Goals