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Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study

medRxiv(2023)10.1101/2023.07.29.23293370Source: DataRank Database

Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study is a research paper published in medRxiv (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (17)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)

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Authors (8)

Karen O’Connor ORCID,Ari Z Klein ORCID,Su Golder ORCID,Iván Flores ORCID,Amir Elyaderani ORCID

Live enrichment

PubMed:37577535 OpenAlex:https://openalex.org/W4385798341

National Institutes of Health

Grant: 5R01AI164481-03

Enriching SARS-CoV-2 sequence data in public repositories with information extracted from full text articles

NIAID NIH HHS

Grant: R01 AI164481

NLM NIH HHS

Grant: R01 LM011176

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/08/04/2023.07.29.23293370.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.29.23293370

repositoryhttps://doi.org/10.1101/2023.07.29.23293370

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37577535

Fields of Study

Topic ModelingMisinformation and Its ImpactsSentiment Analysis and Opinion Mining

Keywords

GenBankData extractionData scienceComputer scienceSystematic reviewInformation retrievalData miningInformation extractionMEDLINEBiologyArticlegenomic epidemiologynatural language processingsentence classification

Sustainable Development Goals

SDG 0: Good health and well-being