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

Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images

Modern Pathology(2023)10.1016/j.modpat.2023.100247Source: DataRank Database

Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images is a research paper published in Modern Pathology (2023). On theSindex it has a DataRank of 0. It has been cited 27 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access27 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 4.61)OA: greenTopics (36)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 (22)

Lia DePaula Oliveira ORCID,Adrianna A. Mendes ORCID,Oluwademilade Dairo ORCID,Onur Ertunç ORCID,İbrahim Kulaç ORCID

Live enrichment

PubMed:37307876 PMC:PMC11225718 OpenAlex:https://openalex.org/W4380202027

NCI NIH HHS

Grant: T32 CA193145

NCI NIH HHS

Grant: P50 CA058236

NCI NIH HHS

Grant: P30 CA006973

NCI NIH HHS

Grant: U01 CA196390

FWCI

4.61

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11225718/pdf/nihms-2006138.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0893395223001527?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0893395223001527?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11225718

Fields of Study

Prostate Cancer Treatment and ResearchAI in cancer detectionMolecular Biology Techniques and ApplicationsHumansDeep LearningProstatic NeoplasmsMalePTEN PhosphohydrolaseTranscriptional Regulator ERGBiomarkers, TumorImage Interpretation, Computer-AssistedAlgorithms

MeSH Terms

Transcriptional Regulator ERGDeep LearningAlgorithmsHumansImage Interpretation, Computer-AssistedMaleProstatic NeoplasmsBiomarkers, TumorPTEN Phosphohydrolase

Keywords

PTENProstate cancerMedicineCohortBiopsyProstatectomyArtificial intelligenceProstatePathologyCancerInternal medicineComputer scienceBiologyErgDeep-learning

Sustainable Development Goals

SDG 0: Good health and well-being