A computational model to predict severity of atopic eczema from 30 serum proteins is a research paper published in Journal of Allergy and Clinical Immunology (2016). On theSindex it has a DataRank of 1.1. It has been cited 15 times, with 14 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
0.416
From this paper's citation signal
Citation Network Contribution
0.669
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 14 citers.
European Commission
Grant: 259294
Modelling latent causes in molecular networks
FWCI
2.95
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals