EnzyKR: a chirality-aware deep learning model for predicting the outcomes of the hydrolase-catalyzed kinetic resolution is a research paper published in Chemical Science (2023). On theSindex it has a DataRank of 0.727. It has been cited 22 times, with 18 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.470
From this paper's citation signal
Citation Network Contribution
0.256
From 14 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 18 citers.
National Institutes of Health
Grant: R35GM146982
National Science Foundation
Grant: BIO200057
National Institute of General Medical Sciences
Vanderbilt University
FWCI
2.03
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords