Automated classification of otitis media with OCT: augmenting pediatric image datasets with gold-standard animal model data is a dataset published in Biomedical Optics Express (2022). On theSindex it has a DataRank of 0.475, placing it in the top 40.2% of the data-sharing corpus. It has been cited 8 times, with 6 citing works in its 1-hop citation network.
Ranks in the top 40% for downstream scientific impact
Linked data & code
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
0.330
From this paper's citation signal
Citation Network Contribution
0.145
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
National Institutes of Health
Grant: R01DC019412
National Institutes of Health
Grant: R01EB028615
NIBIB NIH HHS
Grant: R01 EB013723
AUTOMATED CLASSIFICATION OF OTITIS MEDIA WITH OCT: AUGMENTING PEDIATRIC IMAGE DATASETS WITH GOLD-STANDARD ANIMAL MODEL DATA
AUTOMATED CLASSIFICATION OF OTITIS MEDIA WITH OCT: AUGMENTING PEDIATRIC IMAGE DATASETS WITH GOLD-STANDARD ANIMAL MODEL DATA
AUTOMATED CLASSIFICATION OF OTITIS MEDIA WITH OCT: AUGMENTING PEDIATRIC IMAGE DATASETS WITH GOLD-STANDARD ANIMAL MODEL DATA