Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data is a research paper published in PubMed (2021). On theSindex it has a DataRank of 0.347. It has been cited 6 times, with 4 citing works in its 1-hop citation network.
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
0.292
From this paper's citation signal
Citation Network Contribution
0.0551
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
NIA NIH HHS
Grant: RF1 AG068191
NIMH NIH HHS
Grant: R01 MH116948
NIMH NIH HHS
Grant: RF1 MH123163
NLM NIH HHS
Grant: R01 LM013463
NIH HHS
Grant: S10 OD023495
NIA NIH HHS
Grant: P30 AG010133
NINDS NIH HHS
Grant: R01 NS114628
NINDS NIH HHS
Grant: RF1 NS114628
NIH HHS
Grant: S10 OD023696
NIA NIH HHS
Grant: P30 AG072976
NIBIB NIH HHS
Grant: R01 EB015611
NIA NIH HHS
Grant: U01 AG068057
NIMH NIH HHS
Grant: U01 MH108148
NIA NIH HHS
Grant: U24 AG021886
NIMH NIH HHS
Grant: R01 MH133812
NCATS NIH HHS
Grant: UL1 TR001863
NIA NIH HHS
Grant: R01 AG058854
NIA NIH HHS
Grant: R01 AG071470
NIA NIH HHS
Grant: U01 AG024904
FWCI
10.67
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords