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Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set

Journal of Medical Internet Research(2021)10.2196/25314Source: DataRank Database

Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set is a research paper published in Journal of Medical Internet Research (2021). On theSindex it has a DataRank of 0. It has been cited 68 times.

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0DataRank · unranked

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Open Access68 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (34)IDs (PubMed, PMC)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 (6)

Arjun Magge ORCID,Karen O’Connor ORCID,Ivan Flores ORCID,Davy Weissenbacher ORCID,Graciela Gonzalez‐Hernandez ORCID

Live enrichment

PubMed:33449904 PMC:PMC7834613

NIAID NIH HHS

Grant: R01 AI117011

NLM NIH HHS

Grant: R01 LM011176

National Institutes of Health

Grant: 3R01LM011176-08S1

Social Media Mining for Pharmacovigilance

National Institutes of Health

Grant: 5R01AI117011-04

Tracking Evolution and Spread of Viral Genomes by Geospatial Observation Error

goldLicense: cc-by

publisherhttps://www.jmir.org/2021/1/e25314/PDF

publisherhttps://www.jmir.org/2021/1/e25314

repositoryhttps://doaj.org/article/e2def749b7154f96a143631c3143b8b9

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7834613

Europe_PMChttps://europepmc.org/articles/PMC7834613

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansLongitudinal StudiesSpeechDisease OutbreaksNatural Language ProcessingUnited StatesSelf ReportSocial MediaDatasets as TopicCOVID-19SARS-CoV-2

Keywords

Coronavirusdata miningepidemiologyPandemicsNatural Language ProcessingSocial MediaInfodemiologyCovid-19Original PaperSARS-CoV-2Computer applications to medicine. Medical informaticsR858-859.7Datasets as TopicUnited StatesDisease OutbreaksHumansSpeechLongitudinal StudiesSelf ReportPublic aspects of medicineRA1-1270

Sustainable Development Goals

SDG 3: 3. Good health