EnzymeML—a data exchange format for biocatalysis and enzymology is a dataset published in The FEBS Journal (2021). On theSindex it has a DataRank of 0.963, placing it in the top 21% of the data-sharing corpus. It has been cited 33 times, with 23 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
0.529
From this paper's citation signal
Citation Network Contribution
0.434
From 16 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 23 citers.
Deutsche Forschungsgemeinschaft
Grant: EXC310
Deutsche Forschungsgemeinschaft
Grant: EXC2075
Biotechnology and Biological Sciences Research Council
Grant: BB/S004955/1
GeneORator: a novel and high-throughput method for the synthetic biology-based improvement of any enzyme
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
Klaus Tschira Stiftung
University of Liverpool
FWCI
1.55
Citation Percentile
0.8%
Citation Trend
Fields of Study
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