Single-nuclei characterization of pervasive transcriptional signatures across organs in response to COVID-19 is a dataset published in eLife (2023). On theSindex it has a DataRank of 0.242, placing it in the top 60.3% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 60% 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
0.0341
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 3 citers.
Chan Zuckerberg Initiative
Grant: Covid Tissue Atlas
National Institutes of Health
Grant: R01HL155622
National Institutes of Health
Grant: R01HL142552
NHLBI NIH HHS
Grant: R01 HL138456
NHLBI NIH HHS
Grant: R01 HL160819
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