Machine learning modeling of zebrafish toxicity endpoints after exposure to PROTACs is a dataset published in Toxicological Sciences (2025). On theSindex it has a DataRank of 0.118, placing it in the top 71.6% of the data-sharing corpus. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Ranks in the top 72% 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
0.104
From this paper's citation signal
Citation Network Contribution
0.0140
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 1 citer.
NIH
Grant: R44GM122196-02A1
NIH National Institute of General Medical Sciences
Grant: R44ES031038-02A1
FWCI
0.69
Citation Percentile
0.7%
Citation Trend
Fields of Study
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