Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions

dc.contributor.authorJulia Vainio
dc.contributor.authorKim Holmberg
dc.contributor.organizationfi=koulutussosiologian tutkimuskeskus RUSE|en=Research Unit for the Sociology of Education (RUSE)|
dc.contributor.organization-code1.2.246.10.2458963.20.23782222568
dc.contributor.organization-code2609900
dc.converis.publication-id19262734
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/19262734
dc.date.accessioned2022-10-28T14:14:50Z
dc.date.available2022-10-28T14:14:50Z
dc.description.abstract<p>In this study we examined who tweeted academic articles that had at least one Finnish author or co-author affiliation and that had high altmetric counts on Twitter. In this investigation of national level altmetrics we chose the most tweeted scientific articles from four broad areas of science (Agricultural, Engineering and Technological Sciences; Medical and Health Sciences; Natural Sciences; Social Sciences and Humanities). By utilizing both quantitative and qualitative methods of analysis, we studied the data using research techniques such as keyword categorization, co-word analysis and content analysis of user profile descriptions. Our results show that contrary to a random sample of Twitter users, users who tweet academic articles describe themselves more factually and by emphasizing their occupational expertise rather than personal interests. The more field-specific the articles were, the more research-related descriptions dominated in Twitter profile descriptions. We also found that scientific articles were tweeted to promote ideological views especially in instances where the article represented a topic that divides general opinion.<br /></p>
dc.format.pagerange345
dc.format.pagerange366
dc.identifier.eissn1588-2861
dc.identifier.jour-issn0138-9130
dc.identifier.olddbid187151
dc.identifier.oldhandle10024/170245
dc.identifier.urihttps://www.utupub.fi/handle/11111/42507
dc.identifier.urnURN:NBN:fi-fe2021042716679
dc.language.isoen
dc.okm.affiliatedauthorVainio, Julia
dc.okm.affiliatedauthorHolmberg, Kim
dc.okm.discipline520 Other social sciencesen_GB
dc.okm.discipline520 Muut yhteiskuntatieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisher.countryHungaryen_GB
dc.publisher.countryUnkarifi_FI
dc.publisher.country-codeHU
dc.relation.doi10.1007/s11192-017-2368-0
dc.relation.ispartofjournalScientometrics
dc.relation.issue1
dc.relation.volume112
dc.source.identifierhttps://www.utupub.fi/handle/10024/170245
dc.titleHighly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions
dc.year.issued2017

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The final publication is available at Springer via http://dx.doi.org/10.1007/s11192-017-2368-0