https://pubmed.ncbi.nlm.nih.gov/30935934/

University of Michigan - Ann Arbor

Journal article information (publication stuatus, # of citations, social media exposure) was collected using Altmetric data. The published articles ranged from the year 2016-2000. Multivariable linaear regression was used to assess for independent Altmetric predictors of higher citation rates over time. Logistic regression was used to assess the impact of an article mention on various social media platforms and whether it was cited during the study period.

Methods in Longitudinal Relationship Between Social Media Activity and Article Citations in the Journal Gastrointestinal Endoscopy

A total of 2361 original research articles were evaluated; 2050 articles (86.8%) were cited at least once during the follow-up period. Mean number of citations per article was 16.8 ± 23. The average Altmetric Attention score was 2.0 ± 13. The most profound independent predictor of article citation was whether an article was tweeted (odds ratio [OR], 14.2; 95% confidence interval [CI], 8.93-22.45). Other predictors were Facebook posts (OR, 1.08; 95% CI, 1.03-1.51) and number of Mendeley readers (OR, 1.359; 95% CI, 1.28-1.45). On multivariable linear regression, number of tweeters (β = 2.3, P = .022), F1000 reviews (β = 5.87, P < .001), policy documents (β = 7.6, P < .001), and number of Mendeley readers (β = 14.21, P < .001) were significantly associated with higher citation rates of published articles.

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