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

Development of criteria to optimize manual smear review of automated complete blood counts using a machine learning model

Veterinary Clinical Pathology(2024)10.1111/vcp.13400Source: DataRank Database

Development of criteria to optimize manual smear review of automated complete blood counts using a machine learning model is a research paper published in Veterinary Clinical Pathology (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 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 (3 grants)Impact (FWCI 0.41)OA: hybridTopics (23)IDs (PubMed, PMC, 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 (4)

Mitchell R. Hayes,Kristen R. Friedrichs,Heather A. Simmons ORCID,Jennifer M. Hayes ORCID

Live enrichment

PubMed:39638966 PMC:PMC12137682 OpenAlex:https://openalex.org/W4405036871

NIH Office of the Director

Grant: P51OD011106

NCRR NIH HHS

Grant: C06 RR015459

NCRR NIH HHS

Grant: C06 RR020141

FWCI

0.41

Citation Percentile

0.6%

Citation Trend

2025

hybridLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/vcp.13400

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/vcp.13400

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1111/vcp.13400

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1111/vcp.13400

journalhttps://doi.org/10.1111/vcp.13400

Fields of Study

Digital Imaging for Blood DiseasesClinical Laboratory Practices and Quality ControlAI in cancer detectionMachine LearningAnimalsMacaca fascicularisBlood Cell CountMacaca mulattaSensitivity and Specificity

MeSH Terms

Machine LearningAnimalsBlood Cell CountMacaca fascicularisMacaca mulattaSensitivity and Specificity

Keywords

Machine learningArtificial intelligenceComputer scienceSensitivity (control systems)HematologyslideNonhuman PrimateFlag

Sustainable Development Goals

SDG 0: Decent work and economic growth