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

Computational protocol to identify shared transcriptional risks and mutually beneficial compounds between diseases

STAR Protocols(2024)10.1016/j.xpro.2024.102883Source: DataRank Database

Computational protocol to identify shared transcriptional risks and mutually beneficial compounds between diseases is a research paper published in STAR Protocols (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

Linked data & code

geo dbgap doi

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 (7 grants)Impact (FWCI 0.00)OA: goldTopics (21)IDs (PubMed, PMC, OpenAlex)Annotations (3)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 (8)

Mao Zhang ORCID,Richard A. Baylis ORCID,Fudi Wang ORCID,Johan Björkegren ORCID,Jason J. Kovacic

Live enrichment

PubMed:38354084 PMC:PMC10876979 OpenAlex:https://openalex.org/W4391740819

National Heart Lung and Blood Institute

Grant: R35HL144475

American Heart Association

Grant: EIA34770065

Leducq Foundation

Grant: 18CVD02

National Institutes of Health

Grant: 5R35HL144475-03

Clonal expansion, resistance to efferocytosis and innate immunity in atherosclerosis

American Heart Association Inc

Leducq Foundation

National Heart Lung and Blood Institute

FWCI

0.00

Citation Percentile

0.0%

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.xpro.2024.102883

publisherhttps://doi.org/10.1016/j.xpro.2024.102883

publisherhttps://api.elsevier.com/content/article/PII:S2666166724000480?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166724000480?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38354084

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic Networks0301 basic medicine0303 health sciences03 medical and health sciencesWorkflow

MeSH Terms

Workflow

Keywords

Protocol (science)Computational biologyComputer scienceBiologyMedicineCancerBioinformaticsHealth SciencesRnaseqQ1-390Science (General)ProtocolWorkflow

Sustainable Development Goals

SDG 3: 3. Good health