Literature DB >> 35137307

High social media attention scores are not reflective of study quality: an altmetrics-based content analysis.

Kyle Nash Kunze1, Joseph Emanuele Manzi2, Evan Michael Polce3, Amar Vadhera3, Mohit Bhandari4,5, Nicolas Santiago Piuzzi6.   

Abstract

Recent literature has demonstrated the associations between social media attention, as measured by altmetric attention score (AAS), and higher citation rates across medical disciplines. Despite increasing use of AAS, an understanding of factors associated with higher AAS and social media attention remains lacking. Furthermore, if this increased attention correlates with a higher methodological quality and lower biases has not been determined. Therefore, the purpose of the current study was to determine the relationship between methodological quality, study biases and the AAS in randomized controlled trials (RCTs). All RCTs from 2016 in the New England Journal of Medicine (NEJM), Journal of the American Medical Society (JAMA), and Lancet were extracted and the (1) AAS; (2) Methodological Bias (JADAD Scale); Study Bias (Cochrane Risk-of-Bias tool for RCTs) recorded. A total of 296 RCTs with a median (range) AAS and citation rate per article of 234.0(7-4079) and 165.0(4-3257), respectively, were included. The AAS was positively associated with citation rate (β 0.19, 95% CI 0.10-0.29; P < 0.001). Methodological bias was not associated with the AAS (β - 36.3, 95% CI - 83.5-10.9; P = 0.131), but was negatively associated with higher citation rates (β - 66.4, 95% CI - 106.0 to - 26.9; P = 0.001). The number of study biases was not associated with the AAS (β 43.7, 95% CI - 6.3-93.7;P = 0.086), but was positively associated with a higher citation rate (β 64.5, 95% CI 22.4-106.6; P = 0.003). The online attention of RCTs in medical journals was not necessarily reflective of high methodological quality and minimal study biases, but was associated with higher citation rates. Researchers and clinicians should critically examine each article despite the amount of online attention an article receives as the AAS does not necessarily reflect article quality.
© 2022. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).

Entities:  

Keywords:  Altmetrics; Bias; Bibliometric; Citation rate; Methodology; Randomized controlled trial

Mesh:

Year:  2022        PMID: 35137307     DOI: 10.1007/s11739-022-02939-5

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


  3 in total

1.  Comparison of Attention for Neurological Research on Social Media vs Academia: An Altmetric Score Analysis.

Authors:  Vineet Punia; Vikram Aggarwal; Ryan Honomichl; Appaji Rayi
Journal:  JAMA Neurol       Date:  2019-09-01       Impact factor: 18.302

2.  Twitter promotion predicts citation rates of cardiovascular articles: a preliminary analysis from the ESC Journals Randomized Study.

Authors:  Ricardo Ladeiras-Lopes; Sarah Clarke; Rafael Vidal-Perez; Michael Alexander; Thomas F Lüscher
Journal:  Eur Heart J       Date:  2020-09-07       Impact factor: 29.983

3.  Trends in Female Authorship: A Bibliometric Analysis of The Annals of Thoracic Surgery.

Authors:  Jessica G Y Luc; Dominique Vervoort; Edward Percy; Sameer Hirji; Gurkiran K Mann; Kevin Phan; Mahmoud Dibas; Muthiah Vaduganathan; Ourania Preventza; Mara B Antonoff
Journal:  Ann Thorac Surg       Date:  2020-08-19       Impact factor: 5.102

  3 in total

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