Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization

Bioinformatics(2023)10.1093/bioinformatics/btad431Source: DataRank Database

Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

Download PDF

Cite:

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 0.00)OA: goldTopics (11)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (5)

Chaozhong Liu ORCID,Yang Gao ORCID,Xiang H.-F. Zhang ORCID,Zhandong Liu ORCID,Linhua Wang ORCID

Live enrichment

PubMed:37436699 OpenAlex:https://openalex.org/W37436699

National Institutes of Health

Grant: P50HD103555

National Institutes of Health

Grant: U54NS093793

NCI NIH HHS

Grant: P50 CA186784

NCI NIH HHS

Grant: K99 CA279899

FWCI

0.00

Citation Percentile

0.0%

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad431/50860583/btad431.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/39/7/btad431/50938969/btad431.pdf

journalhttps://dialnet.unirioja.es/servlet/articulo?codigo=3499487

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10363022/pdf/btad431.pdf

Fields of Study

Historical Geopolitical and Social DynamicsCultural Identity and HeritageFrench Historical and Cultural Studies

MeSH Terms

Gene Expression ProfilingComputational BiologySoftwareTranscriptomeData Analysis

Keywords

Political scienceHumanitiesArt

Sustainable Development Goals

SDG 0: Reduced inequalities