Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions is a research paper published in Science of The Total Environment (2024). On theSindex it has a DataRank of 0.869. It has been cited 32 times, with 32 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
0.524
From this paper's citation signal
Citation Network Contribution
0.344
From 22 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 32 citers.
Fundamental Research Funds for the Central Universities
Grant: FRF-EYIT-23-07
National Natural Science Foundation of China
Grant: 42377361
Anqing Normal University
FWCI
5.38
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals