Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis.
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| Title: | Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis. |
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| Authors: | Engel-Rebitzer E; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States., Stokes DC; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States., Meisel ZF; Center for Emergency Care Policy and Research Philadelphia, PA United States.; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; Department of Emergency Medicine Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Penn Injury Science Center University of Pennsylvania Philadelphia, PA United States., Purtle J; Department of Public Health Policy and Management School of Global Public Health New York University New York City, NY United States.; Global Center for Implementation Science New York University New York City, NY United States., Doyle R; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States., Buttenheim AM; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States. |
| Source: | JMIR infodemiology [JMIR Infodemiology] 2022 Feb 18; Vol. 2 (1), pp. e32372. Date of Electronic Publication: 2022 Feb 18 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918249014806676 Publication Model: eCollection Cited Medium: Internet ISSN: 2564-1891 (Electronic) Linking ISSN: 25641891 NLM ISO Abbreviation: JMIR Infodemiology Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35229075 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Engel-Rebitzer+E%22">Engel-Rebitzer E</searchLink>; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States.<br /><searchLink fieldCode="AU" term="%22Stokes+DC%22">Stokes DC</searchLink>; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States.<br /><searchLink fieldCode="AU" term="%22Meisel+ZF%22">Meisel ZF</searchLink>; Center for Emergency Care Policy and Research Philadelphia, PA United States.; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; Department of Emergency Medicine Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Penn Injury Science Center University of Pennsylvania Philadelphia, PA United States.<br /><searchLink fieldCode="AU" term="%22Purtle+J%22">Purtle J</searchLink>; Department of Public Health Policy and Management School of Global Public Health New York University New York City, NY United States.; Global Center for Implementation Science New York University New York City, NY United States.<br /><searchLink fieldCode="AU" term="%22Doyle+R%22">Doyle R</searchLink>; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States.<br /><searchLink fieldCode="AU" term="%22Buttenheim+AM%22">Buttenheim AM</searchLink>; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918249014806676%22">JMIR infodemiology</searchLink> [JMIR Infodemiology] 2022 Feb 18; Vol. 2 (1), pp. e32372. <i>Date of Electronic Publication: </i>2022 Feb 18 (<i>Print Publication: </i>2022). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>9918249014806676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2564-1891 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225641891%22">25641891 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Infodemiology <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35229075 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/32372 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e32372 Titles: – TitleFull: Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Engel-Rebitzer E – PersonEntity: Name: NameFull: Stokes DC – PersonEntity: Name: NameFull: Meisel ZF – PersonEntity: Name: NameFull: Purtle J – PersonEntity: Name: NameFull: Doyle R – PersonEntity: Name: NameFull: Buttenheim AM IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 02 Text: 2022 Feb 18 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2564-1891 Numbering: – Type: volume Value: 2 – Type: issue Value: 1 Titles: – TitleFull: JMIR infodemiology Type: main |
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