A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling is a dataset published in Regulatory Toxicology and Pharmacology (2020). On theSindex it has a DataRank of 0.944, placing it in the top 21.4% of the data-sharing corpus. It has been cited 30 times, with 17 citing works in its 1-hop citation network.
Ranks in the top 21% 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
0.515
From this paper's citation signal
Citation Network Contribution
0.429
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 17 citers.
National Institutes of Health
Grant: R44ES026909
National Institutes of Health
Grant: T32 ES026568
National Institutes of Health
Grant: 5T32ES026568-02
Regulatory Science in Environmental Health and Toxicology
National Institutes of Health
Grant: 5R44ES026909-03
Rapid response toxicology prediction platform
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