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Journal of Diabetes & Metabolic Disorders
Published in: Journal of Diabetes & Metabolic Disorders 2/2023

30-09-2023 | Research article

Research impact in randomized controlled trials of diabetes: an altmetric approach

Authors: Shahram Sedghi, Kosar Abouhamzeh, Firoozeh Dokhani, Somayeh Delavari, Akbar Soltani, Samira Soleimanpour, Leila Nemati-Anaraki, Azadeh Aletaha

Published in: Journal of Diabetes & Metabolic Disorders | Issue 2/2023

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Abstract

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.
Literature
1.
Bornmann L. Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. J Inf Secur. 2014;8(4):895–903.
2.
Zahedi Z. Analyzing readerships of international Iranian publications in Mendeley: an altmetrics study. ArXiv. 2015.
3.
Alhoori H, Furuta R, Tabet M, Samaka M, Fox EA, editors. Altmetrics for country-level research assessment. In The emergence of digital libraries – research and practices; 16th international conference on Asia-Pacific digital libraries, ICADL 2014, Chiang Mai, Thailand, November 5–7, 2014. Proceedings 16 2014 (pp. 59–64). Springer International Publishing.
4.
Sugimoto CR, Work S, Larivière V, Haustein S. Scholarly use of social media and altmetrics: a review of the literature. J Assoc Inf Sci Technol. 2017;68(9):2037–62.
5.
Erdt M, Nagarajan A, Sin S-CJ, Theng Y-L. Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media. Scientometrics. 2016;109:1117–66.
6.
Ferdousi S, Gavgani VZ, Oskouei SG, Hosseinifard H. Evaluating the factors affecting scholarly communication of journal articles on social and news media: an altmetric study. J Sch Publ. 2023;54(2):220–38.
7.
Brody T, Harnad S. Earlier web usage statistics as predictors of later citation impact. J Am Soc Inf Sci Technol. 2006;57(8):1060–72.
8.
Schloegl C, Gorraiz J. Comparison of citation and usage indicators: the case of oncology journals. Scientometrics. 2010;82(3):567–80.
9.
Lin J, Fenner M. Altmetrics in evolution: defining and redefining the ontology of article-level metrics. Inf Standards Q. 2013;25:20.
10.
Li X, Thelwall M. F1000, Mendeley and traditional bibliometric indicators. In: Proceedings of the 17th international conference on science and technology indicators, vol. 2; 2012. p. 451–551.
11.
Russell-Minda E, Jutai J, Speechley M, Bradley K, Chudyk A, Petrella R. Health technologies for monitoring and managing diabetes: a systematic review. J Diabetes Sci Technol. 2009;3(6):1460–71.PubMedPubMedCentral
12.
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843.PubMed
13.
Cumpston M, Li T, Page MJ, Chandler J, Welch VA, Higgins JP, et al. Updated guidance for trusted systematic reviews: a new edition of the Cochrane handbook for systematic reviews of interventions. Cochrane Database Syst Rev. 2019;10(10):Ed000142.PubMed
14.
Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials. Ann Intern Med. 2010;152(11):726–32.PubMed
15.
Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–6.PubMedPubMedCentral
16.
Özkent Y. Social media usage to share information in communication journals: an analysis of social media activity and article citations. PLoS One. 2022;17(2):e0263725.PubMedPubMedCentral
17.
Galligan F, Dyas-Correia S. Altmetrics: rethinking the way we measure. Ser Rev. 2013;39(1):56–61.
18.
Sud P, Thelwall M. Evaluating altmetrics scientometrics. 2014;98:1131–43.
19.
Olan F, Jayawickrama U, Arakpogun EO, Suklan J, Liu S. Fake news on social media: the impact on society. Inf Syst Front. 2022:1–16.
20.
Saffar Soflaei S, Darroudi S, Tayefi M, Nosrati Tirkani A, Moohebati M, Ebrahimi M, et al. Hookah smoking is strongly associated with diabetes mellitus, metabolic syndrome and obesity: a population-based study. Diabetol Metab Syndr. 2018;10(1):1–6.
21.
Gallwitz B, Rosenstock J, Rauch T, Bhattacharya S, Patel S, von Eynatten M, et al. 2-year efficacy and safety of linagliptin compared with glimepiride in patients with type 2 diabetes inadequately controlled on metformin: a randomised, double-blind, non-inferiority trial. Lancet. 2012;380(9840):475–83.PubMed
22.
Ezzat SM, Bishbishy MHE, Habtemariam S, Salehi B, Sharifi-Rad M, Martins N, et al. Looking at marine-derived bioactive molecules as upcoming anti-diabetic agents: a special emphasis on PTP1B inhibitors. Molecules. 2018;23(12)
23.
Fatehi F, Gray LC, Russell AW, Paul SK. Validity study of video teleconsultation for the management of diabetes: a pilot randomized controlled trial. Diabetes Technol Ther. 2015;17(10):717–25.PubMed
24.
Rosengren A, Teo K, Rangarajan S, Kabali C, Khumalo I, Kutty VR, et al. Psychosocial factors and obesity in 17 high-, middle- and low-income countries: the prospective urban rural epidemiologic study. Int J Obes. 2015;39(8):1217–23.
25.
Asemi Z, Karamali M, Jamilian M, Foroozanfard F, Bahmani F, Heidarzadeh Z, et al. Magnesium supplementation affects metabolic status and pregnancy outcomes in gestational diabetes: a randomized, doubleblind, placebo-controlled trial. Am J Clin Nutr. 2015;102(1):222–9.PubMed
26.
Hawkes RE, Sanders C, Soiland-Reyes C, Brunton L, Howells K, Cotterill S, et al. Reflections of patient and public involvement from a commissioned research project evaluating a nationally implemented NHS programme focused on diabetes prevention. Res Involv Engagem. 2023;9(1):1–10.
27.
Johnson MB, De Franco E, Lango Allen H, Al Senani A, Elbarbary N, Siklar Z, et al. Recessively inherited LRBA mutations cause autoimmunity presenting as neonatal diabetes. Diabetes. 2017;66(8):2316–22.PubMed
28.
Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.PubMed
29.
Sedigh-Rahimabadi M, Fani M, Rostami-Chijan M, Zarshenas MM, Shams M. A traditional mouthwash (Punica granatum var pleniflora) for controlling gingivitis of diabetic patients: a double-blind randomized controlled clinical trial. J Evid Based Complementary Altern Med. 2017;22(1):59–67.PubMed
30.
Rogozińska E, Marlin N, Jackson L, Rayanagoudar G, Ruifrok AE, Dodds J, et al. Effects of antenatal diet and physical activity on maternal and fetal outcomes: individual patient data meta-analysis and health economic evaluation. Health Technol Assess. 2017;21(41):1–158.PubMedPubMedCentral
31.
Asghari G, Ghorbani Z, Mirmiran P, Azizi F. Nut consumption is associated with lower incidence of type 2 diabetes: the Tehran lipid and glucose study. Diabetes Metab. 2017;43(1):18–24.PubMed
32.
Panahi Y, Khalili N, Sahebi E, Namazi S, Reiner Ž, Majeed M, et al. Curcuminoids modify lipid profile in type 2 diabetes mellitus: a randomized controlled trial. Complement Ther Med. 2017;33:1–5.PubMed
33.
Heydari S, Shekofteh M, Kazerani M. Relationship between altmetrics and citations a study on the highly cited research papers. DESIDOC J Libr Inf Technol. 2019;39(4):169–74.
34.
Costas R, Zahedi Z, Wouters P. Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. J Assoc Inf Sci Technol. 2015;66(10):2003–19.
35.
Kousha K, Thelwall M. Can Google scholar and Mendeley help to assess the scholarly impacts of dissertations? J Inf Secur. 2019;13(2):467–84.
36.
Hicks A, Sinkinson C. Examining Mendeley: Designing learning opportunities for digital scholarship portal: Libraries and the Academy. 2015;15(3):531–49.
37.
Maleki A, editor. Mendeley readership impact of academic articles of Iran. ISSI; 2015.
38.
Zhang X, Wang X, Zhao H, Ordóñez de Pablos P, Sun Y, Xiong H. An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. Scientometrics. 2019;119(3):1311–44.
39.
Mohammadi E, Thelwall M, Haustein S, Larivière V. Who reads research articles? An altmetrics analysis of M endeley user categories. J Assoc Inf Sci Technol. 2015;66(9):1832–46.
40.
Malik A, Heyman-Schrum C, Johri A. Use of twitter across educational settings: a review of the literature. Int J Educ Technol High Educ. 2019;16(1):1–22.
41.
Ouchi A, Saberi MK, Ansari N, Hashempour L, Isfandyari-Moghaddam A. Do altmetrics correlate with citations? A study based on the 1,000 most-cited articles. Inf Discov Deliv. 2019;47(4):192–202.
42.
Erfanmanesh M. The presence of Iranian information science and library science articles in social media: an altmetric study. IJIPM. 2022;32(2):349–73.
43.
Shenavar A, Doulani A. Review of Iranian journal articles indexed in web of science based on Altmetric indicators in scientific social media. Webology. 2020;17(1)
44.
Vosoughi S, Roy D, Aral S. The spread of true and false news online. Science. 2018;359(6380):1146–51.PubMed
45.
Pennycook G, Epstein Z, Mosleh M, Arechar AA, Eckles D, Rand DG. Shifting attention to accuracy can reduce misinformation online. Nature. 2021;592(7855):590–5.PubMed
46.
Teixeira da Silva JA, Nazarovets S. The role of Publons in the context of open peer review. Publ Res Q. 2022;38(4):760–81.
47.
Nassi-Calò L. In time: Publons seeks to attract reviewers and improve peer review. SciELO Brasil. 2017;35:367–8.
48.
Kirkham J, Moher D. Who and why do researchers opt to publish in post-publication peer review platforms?-findings from a review and survey of F1000 research. F1000Research. 2018;7:920.PubMedPubMedCentral
49.
Konkiel S, Scherer D. New opportunities for repositories in the age of altmetrics. Bull Am Soc Inf Sci. 2013;39(4):22–6.
50.
Moradi S, Dokhani F, Aletaha A. Evaluating the policy impact of COVID-19 health researches using the Altmetrics approach: countries policymaking experiences. Strategic Studies of Public Policy. 2020;10(35):318–39.
51.
Aletaha A, Soltani A, Dokhani F. Evaluating obesity publications: from bibliometrics to altmetrics. J Diabetes Metab Disord. 2021;20:391–405.PubMedPubMedCentral
52.
Eubanks LM, Rogers CJ, AEt B, Koob GF, Olson AJ, Dickerson TJ, et al. A molecular link between the active component of marijuana and Alzheimer's disease pathology. Mol Pharm. 2006;3(6):773–7.PubMedPubMedCentral
53.
Cao C, Li Y, Liu H, Bai G, Mayl J, Lin X, et al. The potential therapeutic effects of THC on Alzheimer's disease. J Alzheimers Dis. 2014;42(3):973–84.PubMed
Metadata
Title
Research impact in randomized controlled trials of diabetes: an altmetric approach
Authors
Shahram Sedghi
Kosar Abouhamzeh
Firoozeh Dokhani
Somayeh Delavari
Akbar Soltani
Samira Soleimanpour
Leila Nemati-Anaraki
Azadeh Aletaha
Publication date
30-09-2023
Publisher
Springer International Publishing
Published in
Journal of Diabetes & Metabolic Disorders / Issue 2/2023
Electronic ISSN: 2251-6581
DOI
https://doi.org/10.1007/s40200-023-01287-1

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