A novel sagittal craniosynostosis classification system based on multi-view learning algorithm is a research paper published in Neural Computing and Applications (2022). On theSindex it has a DataRank of 0.304. It has been cited 4 times, with 3 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.
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Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0.0622
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
National Institutes of Health
Grant: 1R01DE027027-04
National Institutes of Health
Grant: 1U01 AR069395-04
National Institutes of Health
Grant: 1U01AR069395-01A1
Systems Modeling Guided Bone regeneration
National Institutes of Health
Grant: 5R01DE027027-04
A Novel Informatics System for Craniosynostosis Surgery
FWCI
0.51
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords