Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation.

Carlson, Jedidiah; Harris, Kelley

Carlson, Jedidiah; Harris, Kelley.

Affiliation

Carlson J; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Harris K; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.

PLoS Biol ; 18(9): e3000860, 2020 09.

Article in En | MEDLINE | ID: mdl-32960891

Subject(s)

Databases as Topic; Publications; Science; Social Change; Social Media; Academies and Institutes/organization & administration; Academies and Institutes/standards; Academies and Institutes/statistics & numerical data; Access to Information; Databases as Topic/organization & administration; Databases as Topic/standards; Databases as Topic/statistics & numerical data; Electronic Data Processing/organization & administration; Electronic Data Processing/standards; Electronic Data Processing/statistics & numerical data; Humans; Information Literacy; Internet/organization & administration; Internet/standards; Internet/statistics & numerical data; Political Activism; Publications/classification; Publications/standards; Publications/statistics & numerical data; Publications/supply & distribution; Science/organization & administration; Science/standards; Science/statistics & numerical data; Social Media/organization & administration; Social Media/standards; Social Media/statistics & numerical data

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Publications / Science / Social Change / Databases as Topic / Social Media Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Biol Journal subject: BIOLOGIA Year: 2020 Type: Article Affiliation country: United States

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