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

Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study

JMIR Formative Research(2024)10.2196/52462Source: DataRank Database

Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study is a research paper published in JMIR Formative Research (2024). On theSindex it has a DataRank of 0. It has been cited 16 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access16 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)OA: goldTopics (15)IDs (PubMed, PMC)

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 (15)

Asim Munawar ORCID,Nikolaos Mylonas ORCID,Mohammad Delsoz ORCID,Yeganeh Madadi ORCID,Muhammad Elahi ORCID

Live enrichment

PubMed:38517457 PMC:PMC10998173

NEI NIH HHS

Grant: R01 EY033005

NEI NIH HHS

Grant: R21 EY031725

National Institutes of Health

Grant: 5R01EY033005-04

Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence

National Institutes of Health

Grant: 3R21EY031725-02S1

Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled Dashboard

goldLicense: cc-by

publisherhttps://doi.org/10.2196/52462

publisherhttps://formative.jmir.org/2024/1/e52462

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10998173/pdf/formative_v8i1e52462.pdf

repositoryhttps://doaj.org/article/2ba347abb8f64a69b5c4966e66562574

Europe_PMChttps://europepmc.org/articles/PMC10998173

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

Trend analysisOphthalmologyBartText ClassificationLlmBertLarge Language ModelBidirectional And Auto-regressive TransformersBidirectional Encoder Representations From TransformersOriginal PaperRMedicine