Association Between Twitter Mentions and Academic Citations in Otolaryngology Literature.

MedStar author(s):
Citation: Otolaryngology - Head & Neck Surgery. :1945998211044680, 2021 Sep 14PMID: 34520297Department: MedStar Georgetown University Hospital | Otolaryngology ResidencyForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2021ISSN:
  • 0194-5998
Name of journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck SurgeryAbstract: CONCLUSION: Most otolaryngology articles are disseminated over Twitter, with greatest Twitter activity occurring before print publication date of articles. Citations within 2 years of release are positively associated with the number of mentions on Twitter. Article Twitter mentions may augment the academic influence of otolaryngology publications.METHODS: Original research articles from 10 leading otolaryngology journals were assessed 26 months after print publication. Article Twitter mentions were tracked through the Altmetric Bookmarklet, and article citation data were determined through the Google Scholar search engine. Twitter mentions and citation metrics of articles were compared through 2-tailed t test analysis (P < .05).OBJECTIVE: To evaluate the relationship between Twitter mentions and academic citations in otolaryngology literature.RESULTS: Of all articles, 50.7% (152/300) had at least 1 Twitter mention. Of all article Twitter mentions, 25% (432/1758) happened within the first week of online publication dates, while 64% (1130/1758) occurred between online and print publication dates. Articles mentioned on Twitter had 1.6-fold more Google Scholar citations (8.6 +/- 0.7, mean +/- SD) than articles with no Twitter mentions (5.4 +/- 0.4, P < .01). A total of 8% (24/300) of publications were tweeted by their authors. Articles self-tweeted by authors were associated with an 8.4-citation increase (14.8 +/- 3.1) for Google Scholar when compared with articles not shared by their authors on Twitter (6.4 +/- 0.4; 2.3-fold increase, P < .01).SETTING: Altmetric Twitter mention and Google Scholar citation rosters.STUDY DESIGN: Retrospective cross-sectional analysis.All authors: Crossley JR, Deshpande N, Malekzadeh SFiscal year: FY2022Digital Object Identifier: Date added to catalog: 2021-11-01
Holdings
Item type Current library Collection Call number Status Date due Barcode
Journal Article MedStar Authors Catalog Article 34520297 Available 34520297

CONCLUSION: Most otolaryngology articles are disseminated over Twitter, with greatest Twitter activity occurring before print publication date of articles. Citations within 2 years of release are positively associated with the number of mentions on Twitter. Article Twitter mentions may augment the academic influence of otolaryngology publications.

METHODS: Original research articles from 10 leading otolaryngology journals were assessed 26 months after print publication. Article Twitter mentions were tracked through the Altmetric Bookmarklet, and article citation data were determined through the Google Scholar search engine. Twitter mentions and citation metrics of articles were compared through 2-tailed t test analysis (P < .05).

OBJECTIVE: To evaluate the relationship between Twitter mentions and academic citations in otolaryngology literature.

RESULTS: Of all articles, 50.7% (152/300) had at least 1 Twitter mention. Of all article Twitter mentions, 25% (432/1758) happened within the first week of online publication dates, while 64% (1130/1758) occurred between online and print publication dates. Articles mentioned on Twitter had 1.6-fold more Google Scholar citations (8.6 +/- 0.7, mean +/- SD) than articles with no Twitter mentions (5.4 +/- 0.4, P < .01). A total of 8% (24/300) of publications were tweeted by their authors. Articles self-tweeted by authors were associated with an 8.4-citation increase (14.8 +/- 3.1) for Google Scholar when compared with articles not shared by their authors on Twitter (6.4 +/- 0.4; 2.3-fold increase, P < .01).

SETTING: Altmetric Twitter mention and Google Scholar citation rosters.

STUDY DESIGN: Retrospective cross-sectional analysis.

English

Powered by Koha