Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases is a research paper published in eLife (2020). On theSindex it has a DataRank of 2.4. It has been cited 99 times, with 83 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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
0.691
From this paper's citation signal
Citation Network Contribution
1.7
From 70 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 83 citers.
National Institutes of Health
Grant: R01 GM130915
National Institutes of Health
Grant: T32 GM107004
National Institutes of Health
Grant: 5T32GM107004-07
Glycoscience Training Program
National Institutes of Health
Grant: 5R01GM130915-02
Origin of N-Glycan Site-Specific Heterogeneity
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases