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

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification

PubMed(2023)10.1109/cbms58004.2023.00236Source: DataRank Database

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification is a research paper published in PubMed (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 3.91)OA: greenTopics (19)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 (5)

Ghada Zamzmi ORCID,Peter R. Mouton ORCID,Yu Sun ORCID,Dmitry B. Goldgof ORCID,Md. Imran Hossain ORCID

Live enrichment

PubMed:41019613 PMC:PMC12464964 OpenAlex:https://openalex.org/W4384517977

National Institutes of Health

Grant: NIH R21NR018756

NICHD

Grant: 1R41HD109086

NINR NIH HHS

Grant: R21 NR018756

NICHD NIH HHS

Grant: R41 HD109086

FWCI

3.91

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12464964/pdf/nihms-2110044.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/10178426/10178704/10178748.pdf?arnumber=10178748

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12464964

https://doi.org/10.1109/cbms58004.2023.00236

Fields of Study

Intravenous Infusion Technology and SafetyNeonatal and fetal brain pathologyCardiac Arrest and Resuscitation

Keywords

SpectrogramComputer scienceTransparency (behavior)Artificial intelligencePain assessmentDeep learningIdentification (biology)Machine learningMedicinePhysical therapyPain managementComputer securityInfluence FunctionDeep Neural NetworksNeonatal PainExplainability

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions