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

Identifying Medical Concepts and Semantic Types in Lay Vocabularies of Health Consumers Who are Concerned with Diabetes on Social Media Using the UMLS and NLP

PubMed(2024)10.1109/compsac61105.2024.00119Source: DataRank Database

Identifying Medical Concepts and Semantic Types in Lay Vocabularies of Health Consumers Who are Concerned with Diabetes on Social Media Using the UMLS and NLP is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 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 (1 grants)Impact (FWCI 0.00)OA: greenTopics (13)IDs (PubMed, 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 (8)

Paramita Basak Upama ORCID,Masud Rabbani ORCID,Shiyu Tian ORCID,Min Sook Park ORCID,Sheikh Iqbal Ahamed ORCID

Live enrichment

PubMed:39640180 OpenAlex:https://openalex.org/W4401880236

National Institutes of Health (NIH) Exploratory/Developmental Research

Grant: IR2INROI9707-01

FWCI

0.00

Citation Percentile

0.1%

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

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11619756/pdf/nihms-2008734.pdf

publisherhttp://xplorestaging.ieee.org/ielx8/10633276/10633246/10633353.pdf?arnumber=10633353

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11619756

http://dx.doi.org/10.1109/compsac61105.2024.00119

Fields of Study

Biomedical Text Mining and OntologiesAdvanced Text Analysis TechniquesTopic Modeling

Keywords

Unified Medical Language SystemComputer scienceSocial mediaNatural language processingInformation retrievalSemantics (computer science)Artificial intelligenceMicrobloggingControlled vocabularyWorld Wide Web

Sustainable Development Goals

SDG 0: Quality Education