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.
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Journal of the American Statistical Association(2001)10.1198/016214501753382273Source: DataRank Database
Top 4%
24.0Top 4%
9118 citations · base score 9.1
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 6%Network Component 94%
Base Score Contribution
1.4
From this paper's citation signal
Citation Network Contribution
22.7
From 175 citing papers with measurable signal
Authors (2)
Runze LiORCID,Jianqing FanORCID