Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2020)10.1109/cvpr42600.2020.00978Source: DataRank Database
Top 17%
14.0Top 17%
2204 citations · base score 7.7
datarank_citation_only_1hop_v4Methodology
›Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
IInteroperable
RReusable
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Component 8%Network Component 92%
Base Score Contribution
1.2
From this paper's citation signal
Citation Network Contribution
12.8
From 199 citing papers with measurable signal