Predictors of Altmetric Score in Top-Cited Orthopaedic Articles: A Bibliometric Analysis

Authors

  • Muhammad Talal Ibrahim Department of Surgery, Aga Khan University,
  • Haider Sheraz Medical College, Aga Khan University,
  • Muhammad Hamza Shuja Dow Medical College, Karachi, Pakistan
  • Hamza Imran Dow Medical College, Karachi, Pakistan
  • Anum Ali Department of Surgery, Aga Khan University,
  • Shahryar Noordin Department of Surgery, Aga Khan University,

DOI:

https://doi.org/10.47391/JPMA.AKU-10Surg-30

Abstract

Research articles are increasingly being disseminated on social media, which is not captured by traditional bibliometrics. The Article-Level Metric score captures the ‘social’ impact of such research articles as well. The current bibliometric analysis was planned to identify predictors of high Altmetric score in the top-cited articles related to orthopaedic surgery. Multilevel, mixedmethod, linear regression was employed to adjust for clustering of article-level and journal-level factors among 810 articles from 27 journals. The study was conducted at Aga Khan University, Karachi, Pakistan from June to December 2023. In multivariable, multilevel, linear regression, each additional citation led to a 0.33-unit increase in Article-Level Metric score (beta=0.33, p=0.02), articles published in the Netherlands had a higher score by 10.6 units compared to Germany (beta=10.60, p=0.01), and each additional unit increase in journal’s impact factor increased the score by 1.73 units (beta=1.73, p=0.04)

Keywords: Bibliometrics, Altmetric, Twitter, Social media, Research.

Published

2026-05-18

How to Cite

Muhammad Talal Ibrahim, Haider Sheraz, Muhammad Hamza Shuja, Hamza Imran, Anum Ali, & Shahryar Noordin. (2026). Predictors of Altmetric Score in Top-Cited Orthopaedic Articles: A Bibliometric Analysis. Journal of the Pakistan Medical Association, 76(05 (Supp-1), S157-S160. https://doi.org/10.47391/JPMA.AKU-10Surg-30