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.
Detecting evolutionary relationships across existing fold space, using sequence order-independent profile–profile alignments
Proceedings of the National Academy of Sciences(2008)10.1073/pnas.0704422105Source: DataRank Database
Top 13%
8.4Top 13%
Open Access
251 citations · base score 5.5
datarank_citation_only_1hop_v4Methodology
›Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Component 10%Network Component 90%
Base Score Contribution
0.829
From this paper's citation signal
Citation Network Contribution
7.6
From 163 citing papers with measurable signal
Authors (2)
Philip E. BourneORCID,Lei XieORCID