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Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes

European Radiology(2025)10.1007/s00330-024-11331-0Source: DataRank Database

Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes is a research paper published in European Radiology (2025). On theSindex it has a DataRank of 0.483. It has been cited 24 times.

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0.483DataRank · unranked

Scored on demand from live citation data

24 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 16.68)OA: hybridTopics (18)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.483

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (19)

Xianwei Liu,Junjie Lu ORCID,Jiarui Yang ORCID,Guangcheng Zhang,Shiqi Mao ORCID

Live enrichment

PubMed:39789271 PMC:PMC11835977 OpenAlex:https://openalex.org/W4406199868

National Natural Science Foundation of China

Grant: 82302183

National Natural Science Foundation of China

Grant: 82471935

National Natural Science Foundation of China

Grant: 82271934

Research Found of Health Commission of Shanghai Municipality

Grant: 20244Y0214

Yangfan Project of Science and Technology Commission of Shanghai Municipality

Grant: 22YF1442400

Research Found of Health Commission of Changing District, Shanghai Municipality

Grant: 2023QN01

Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery

Grant: 2024JZWC-ZDA03

Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery

Grant: 2024JZWC-YBA07