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Research impact in randomized controlled trials of diabetes: an altmetric approach.
Sedghi, Shahram; Abouhamzeh, Kosar; Dokhani, Firoozeh; Delavari, Somayeh; Soltani, Akbar; Soleimanpour, Samira; Nemati-Anaraki, Leila; Aletaha, Azadeh.
Affiliation
  • Sedghi S; Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, PO Box 14665-354, Tehran, Iran.
  • Abouhamzeh K; Economics Research Center, Iran University of Medical Sciences, PO Box 14665-354, Tehran, Iran.
  • Dokhani F; Evidence Based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of medical Sciences, Tehran, Iran.
  • Delavari S; Evidence Based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of medical Sciences, Tehran, Iran.
  • Soltani A; Content mate company, Southampton, England UK.
  • Soleimanpour S; Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Nemati-Anaraki L; Evidence Based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of medical Sciences, Tehran, Iran.
  • Aletaha A; Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, PO Box 14665-354, Tehran, Iran.
J Diabetes Metab Disord ; 22(2): 1571-1598, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37975081
Purpose: This study aimed to assess the impact of research in randomized controlled trials (RCTs) of diabetes and explore the various subject areas related to diabetes that receive attention on social media platforms. Altmetric measures were utilized to collect and extract relevant data, providing valuable insights into the social reach and influence of clinical research beyond traditional citation-based metrics. Methods: The research focused on RCTs of diabetes involving at least one Iranian author, indexed in Scopus. Altmetric.com was employed to extract altmetric data, and the collected articles were categorized into 14 subject areas for individual analysis using STATA. Results: The analysis revealed that a majority of the diabetes studies examined nutrition, complications, treatment, genetics, basic mechanisms, and comorbidities of the disease. Conversely, subject areas such as diagnosis, education, gestational diabetes, psychology, physical activity, prevention, dentistry, and economics had fewer studies associated with them. Among social media platforms, Twitter, Facebook, Google+, and Reddit emerged as the most frequently mentioned platforms. Furthermore, Mendeley readership was identified as the preferred platform for engagement across several subject areas. Conclusions: The substantial number of social media mentions indicates a significant level of public interest and concern regarding diabetes. Social media platforms serve as effective tools for disseminating research findings from clinical trials. Altmetric data proves valuable to researchers and funding agencies seeking to comprehend the impact of their work, enabling them to allocate resources more effectively.
Key words

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 / 2_ODS3 Database: MEDLINE Language: En Journal: J Diabetes Metab Disord Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 / 2_ODS3 Database: MEDLINE Language: En Journal: J Diabetes Metab Disord Year: 2023 Document type: Article