Theodore D Cosco1. 1. Telecommunications, Web & Internet Trust; and the Medical Research Council Unit for Lifelong Health & Ageing, University College London, London, UK tdcosco@cantab.net.
Abstract
BACKGROUND: Twitter is an increasingly popular means of research dissemination. I sought to examine the relation between scientific merit and mainstream popularity of general medical journals. METHODS: I extracted impact factors and citations for 2014 for all general medical journals listed in the Thomson Reuters InCites Journal Citation Reports. I collected Twitter statistics (number of followers, number following, number of tweets) between July 25 and 27, 2015 from the Twitter profiles of journals that had Twitter accounts. I calculated the ratio of observed to expected Twitter followers according to citations via the Kardashian Index. I created the (Fifty Shades of) Grey Scale to calculate the analogous ratio according to impact factor. RESULTS: Only 28% (43/153) of journals had Twitter profiles. The scientific and social media impact of journals were correlated: in adjusted models, Twitter followers increased by 0.78% (95% confidence interval [CI] 0.38%-1.18%) for every 1% increase in impact factor and by 0.62% (95% CI 0.34%-0.90%) for every 1% increase in citations. Kardashian Index scores above the 99% CI were obsverved in 16% (7/43) of journals, including 6 of the 7 highest ranked journals by impact factor, whereas 58% (25/43) had scores below this interval. For the Grey Scale, 12% (5/43) of journals had scores above and 35% (15/43) had scores below the 99% CI. INTERPRETATION: The size of a general medical journal's Twitter following is strongly linked to its impact factor and citations, suggesting that higher quality research received more mainstream attention. Many journals have not capitalized on this dissemination method, although others have used it to their advantage.
BACKGROUND: Twitter is an increasingly popular means of research dissemination. I sought to examine the relation between scientific merit and mainstream popularity of general medical journals. METHODS: I extracted impact factors and citations for 2014 for all general medical journals listed in the Thomson Reuters InCites Journal Citation Reports. I collected Twitter statistics (number of followers, number following, number of tweets) between July 25 and 27, 2015 from the Twitter profiles of journals that had Twitter accounts. I calculated the ratio of observed to expected Twitter followers according to citations via the Kardashian Index. I created the (Fifty Shades of) Grey Scale to calculate the analogous ratio according to impact factor. RESULTS: Only 28% (43/153) of journals had Twitter profiles. The scientific and social media impact of journals were correlated: in adjusted models, Twitter followers increased by 0.78% (95% confidence interval [CI] 0.38%-1.18%) for every 1% increase in impact factor and by 0.62% (95% CI 0.34%-0.90%) for every 1% increase in citations. Kardashian Index scores above the 99% CI were obsverved in 16% (7/43) of journals, including 6 of the 7 highest ranked journals by impact factor, whereas 58% (25/43) had scores below this interval. For the Grey Scale, 12% (5/43) of journals had scores above and 35% (15/43) had scores below the 99% CI. INTERPRETATION: The size of a general medical journal's Twitter following is strongly linked to its impact factor and citations, suggesting that higher quality research received more mainstream attention. Many journals have not capitalized on this dissemination method, although others have used it to their advantage.
Authors: Esther K Choo; Megan L Ranney; Teresa M Chan; N Seth Trueger; Amy E Walsh; Ken Tegtmeyer; Shannon O McNamara; Ricky Y Choi; Christopher L Carroll Journal: Med Teach Date: 2014-12-19 Impact factor: 3.650
Authors: Dominic King; Daniel Ramirez-Cano; Felix Greaves; Ivo Vlaev; Steve Beales; Ara Darzi Journal: Health Policy Date: 2013-03-13 Impact factor: 2.980
Authors: Thomy Tonia; Herman Van Oyen; Anke Berger; Christian Schindler; Nino Künzli Journal: Int J Public Health Date: 2016-05-18 Impact factor: 3.380
Authors: Armen Yuri Gasparyan; Bekaidar Nurmashev; Marlen Yessirkepov; Elena E Udovik; Aleksandr A Baryshnikov; George D Kitas Journal: J Korean Med Sci Date: 2017-02 Impact factor: 2.153
Authors: Juan Ruano; Macarena Aguilar-Luque; Francisco Gómez-Garcia; Patricia Alcalde Mellado; Jesus Gay-Mimbrera; Pedro J Carmona-Fernandez; Beatriz Maestre-López; Juan Luís Sanz-Cabanillas; José Luís Hernández Romero; Marcelino González-Padilla; Antonio Vélez García-Nieto; Beatriz Isla-Tejera Journal: PLoS One Date: 2018-01-29 Impact factor: 3.240