Identifying candidate genes and drug targets for Alzheimer’s disease by an integrative network approach using genetic and brain region-specific proteomic data is a dataset published in Human Molecular Genetics (2022). On theSindex it has a DataRank of 0.585, placing it in the top 33.5% of the data-sharing corpus. It has been cited 16 times, with 11 citing works in its 1-hop citation network.
Ranks in the top 34% 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
0.425
From this paper's citation signal
Citation Network Contribution
0.160
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 11 citers.
National Institutes of Health
Grant: R01LM012806
National Institutes of Health
Grant: R01DE030122
Cancer Prevention and Research Institute of Texas
Grant: RP180734
Cancer Prevention and Research Institute of Texas
Grant: RP210045
Precision Environmental Health Sciences
Grant: T32ES027801
National Library of Medicine Training Program in Biomedical Informatics & Data Science
Grant: T15LM007093
FWCI
1.52
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals