NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-Cell Epitopes is a dataset published in Genomics Proteomics & Bioinformatics (2022). On theSindex it has a DataRank of 1.1, placing it in the top 18.5% of the data-sharing corpus. It has been cited 25 times, with 23 citing works in its 1-hop citation network.
Ranks in the top 18% 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
0.489
From this paper's citation signal
Citation Network Contribution
0.611
From 18 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.
National Institutes of Health
Grant: R01LM012806
National Institutes of Health
Grant: R01DE030122
National Institutes of Health
Grant: R01DE029818
Cancer Prevention and Research Institute of Texas
Grant: RP180734
Cancer Prevention and Research Institute of Texas
Grant: RP210045
National Institutes of Health
Grant: 5R01DE029818-03
Role of cellular metabolism in palate morphogenesis
National Institutes of Health
Grant: 1R01LM012806-01
Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype
National Institutes of Health
Grant: 5R01DE030122-03
Deep learning for decoding genetic regulation and cellular maps in craniofacial development
Bioinformatics and Systems Medicine Laboratory
National Institutes of Health
FWCI
1.57
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals