Factors associated with high Altmetric Attention Score in dermatology research.

BACKGROUND

Alternative metrics are emerging scores to assess the impact of research beyond the academic environment.

OBJECTIVE

To analyse whether a correlation exists between manuscript characteristics and alternative citation metrics.

MATERIALS AND METHODS

This bibliometric analysis included original articles published in the five journals with the highest impact factors during 2019. We extracted the following characteristics from each record: journal, publication month, title, number of authors, type of institution, type of publication, research topic, number of references, financial support, free/open access status and literature citations. The main measure was the identification of variables of higher social attention (measured by the Altmetric Attention Score ≥25) using binary logistic regression. Model performance was assessed by the change in the area under the curve (AUC).

RESULTS

A total of 840 manuscripts were included. The Altmetric scores across all five journals ranged from 0 to 465 (mean 12.51 ± 33.7; median 3). The most prevalent topic was skin cancer, and the study design was clinical science. The scientific journal (P < 0.001), the presence of conflicts of interest (OR 2.2 [95%CI 1.3-3.7]; P = 0.002) and open access status OR 3.2 [95%CI 1.6-6.7]; P = 0.002) were found as independent predictors of high Altmetric scores.

CONCLUSIONS

Our study suggests an article´s social recognition may be dependent on some manuscript characteristics, thus providing useful information on the dissemination of dermatology research to the general public.