The impact of social media on citation rates in coloproctology

Colorectal Dis. 2019 Oct;21(10):1175-1182. doi: 10.1111/codi.14719. Epub 2019 Jun 19.

Abstract

Aim: This study aimed to investigate the association between Twitter exposure and the number of citations for coloproctology articles.

Method: Original articles from journals using Twitter between June 2015 and May 2016 were evaluated for the following characteristics: publishing journal; article subject; study design; nationality, speciality and affiliation of the author(s); and reference on Twitter. Citation data for these articles were retrieved from Google Scholar (https://scholar.google.com) in January 2018. We performed a univariate analysis using these data followed by a multivariate, logistic regression analysis to search for factors associated with a high citation level, which was defined as accrual of more than five citations.

Results: Out of six coloproctology journals listed on the InCites JCR database, three (Diseases of the Colon & Rectum, Colorectal Disease and Techniques in Coloproctology) used Twitter, where 200 (49.5%) out of a total of 404 articles had been featured. Citation rates of articles that featured on Twitter were significantly higher than those that did not (11.4 ± 9.2 vs 4.1 ± 3.1, P < 0.001). In multivariate analysis, Twitter exposure (OR 8.6, P = 0.001), European Union nationality (OR 2.4, P = 0.004), Colorectal Disease journal (OR 3.3, P = 0.005) and systematic review articles (OR 3.4, P = 0.009) were associated with higher citation levels.

Conclusion: Article exposure on Twitter was strongly associated with a high citation level. Medical communities should encourage journals as well as physicians to actively utilize social media to expedite the spread of new ideas and ultimately benefit medical society as a whole.

Keywords: Social media; citation rate; coloproctology; twitter.

MeSH terms

  • Colorectal Surgery / statistics & numerical data*
  • Humans
  • Journal Impact Factor*
  • Multivariate Analysis
  • Social Media / statistics & numerical data*