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The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop

Database(2024)10.1093/database/baae071Source: DataRank Database

The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop is a dataset published in Database (2024). On theSindex it has a DataRank of 0.227, placing it in the top 62.1% of the data-sharing corpus. It has been cited 3 times, with 1 citing works in its 1-hop citation network.

Top 62%percentile

0.227DataRank

Ranks in the top 62% for downstream scientific impact

Data paper Open Access3 citations · 1 citing works in its network

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Linked data & code

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.49)OA: goldTopics (27)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 92%Citation Network 8%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

0.0188

From 1 citing papers with measurable signal

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Top 1 citer driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 1 citer.

Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach
Database20245 citations81 referencesContributes 0.022

Authors (12)

Chih-Hsuan Wei ORCID,Po‐Ting Lai ORCID,Ling Luo ORCID,Cathleen Coss,Preeti Gokal Kochar ORCID

Live enrichment

PubMed:39126204 PMC:PMC11315767 OpenAlex:https://openalex.org/W4401500773

National Natural Science Foundation of China

Grant: 62302076

the NIH Intramural Research Program, National Library of Medicine

FWCI

0.49

Citation Percentile

0.6%

Citation Trend

2024

2025

goldLicense: cc-by

journalhttps://doi.org/10.1093/database/baae071

publisherhttps://doi.org/10.1093/database/baae071

publisherhttps://academic.oup.com/database/article-pdf/doi/10.1093/database/baae071/58790757/baae071.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39126204

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11315767

Fields of Study

Biomedical Text Mining and OntologiesGenetics, Bioinformatics, and Biomedical ResearchBioinformatics and Genomic NetworksHumansData CurationData MiningSemanticsPubMed

MeSH Terms

HumansSemanticsPubMedData MiningData Curation

Keywords

IdentifierComputer scienceSentenceNatural language processingPairwise comparisonUniProtInformation retrievalSet (abstract data type)Named-entity recognitionGeneArtificial intelligenceComputational biologyBiologyGenetics

Sustainable Development Goals

SDG 0: Quality Education