Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution is a dataset published in Science (2023). On theSindex it has a DataRank of 2.4, placing it in the top 8.9% of the data-sharing corpus. It has been cited 125 times, with 100 citing works in its 1-hop citation network.
Ranks in the top 9% 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
0.725
From this paper's citation signal
Citation Network Contribution
1.7
From 86 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
NIA NIH HHS
Grant: R00 AG062746
NINDS NIH HHS
Grant: R01 NS083833
NIGMS NIH HHS
Grant: T32 GM136560
NCI NIH HHS
Grant: P30 CA008748
NIDCD NIH HHS
Grant: R01 DC005982
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 5R01DC005982-13
Assembly of the Central Olfactory Networks in Drosophila
National Institutes of Health
Grant: 5T32GM136560-03
Training Program in Cell and Molecular Biology
National Institutes of Health
Grant: 2R01NS083833-06
Mechanism and regulation of Hu family RNA binding proteins during neural alternative polyadenylation
National Institutes of Health
Grant: 4R00AG062746-03
Characterizing age-related decline of neural circuits by single-cell profiling
FWCI
8.71
Citation Percentile
1.0%
Influential Citations
3
Citation Trend
Fields of Study
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