SciELO - Scientific Electronic Library Online

 
vol.28 issue2Caracterización epidemiológica de pacientes con miopatía inflamatoria en un hospital de cuarto nivel en Cali, ColombiaDevelopment and internal validation of a clinical prediction model of the risk of nosocomial bacterial infection in patients with systemic lupus erythematosus author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Reumatología

Print version ISSN 0121-8123

Abstract

AVILA-RODRIGUEZ, Vaneza; FERNANDEZ-AVILA, Daniel G.; MUNOZ-VELANDIA, Óscar  and  GARCIA-PENA, Ángel A.. Use and impact of social networks by rheumatology journals. Rev.Colomb.Reumatol. [online]. 2021, vol.28, n.2, pp.89-94.  Epub Jan 09, 2022. ISSN 0121-8123.  https://doi.org/10.1016/j.rcreu.2020.07.006.

Introduction:

The social networks like Twitter®, Facebook® and YouTube® have become interaction media with visualisation scientific information. Alternative metrics (altmetrics) have emerged that assess the dissemination and the impact of the scientific journals in the social networks. However, it is unknown if there is a correlation between the journal and the traditional measurements of impact based on the number of citations for the journal of rheumatology.

Methods:

The journals of rheumatology included in Scimago Country and Journal Ranking were identified, and the results of their metrics were collected based on the number of cita tions. The presence in social networks was determined using metrics, such as the number of followers and tweets. The correlation between them was evaluated using the Spearman correlation coefficient, adjusted for the time elapsed since the account was created.

Results:

Out of a total of 60 rheumatology journals, 14 had a presence in social networks. The Scimago journal ranking indicator (SJR) was higher in journals with a social network (90.5 vs. 21; p< .05). The correlation between the SJR and Twitter® activity metrics was excellent: with the number of followers (r = 0.85), followers/year (r=0.83), and number of tweets (r = 0.82).

Conclusion:

This study suggests that traditional impact metrics based on the number of cita tions correlate very well with the social network presence metrics of rheumatology journals, especially on Twitter®.

Keywords : Twitter® Social media Rheumatology Bibliometrics.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )