Bibliometric Analysis of Predictors of Altmetric Attention Scores in Orthopedic Research: Investigating Online Visibility.

IF 1.1 4区医学 Q3 ORTHOPEDICS

Orthopedics Pub Date : 2024-11-01 Epub Date: 2024-08-19 DOI:10.3928/01477447-20240809-03

Muhammad Talal Ibrahim, Hamza Imran, Muhammad Hamza Shuja, Haider Sheraz, Andrew Howard, Shahryar Noordin

{"title":"Bibliometric Analysis of Predictors of Altmetric Attention Scores in Orthopedic Research: Investigating Online Visibility.","authors":"Muhammad Talal Ibrahim, Hamza Imran, Muhammad Hamza Shuja, Haider Sheraz, Andrew Howard, Shahryar Noordin","doi":"10.3928/01477447-20240809-03","DOIUrl":null,"url":null,"abstract":"Background: Altmetric Attention Score (AAS) captures online attention received by a research article in addition to traditional bibliometrics. We present a comprehensive bibliometric analysis of high AAS articles and identify predictors of AAS in orthopedics.Materials and methods: The top 30 articles with highest AAS were selected from orthopedic journals using the Dimensions App. Multilevel mixed-effects linear regression was used to address clustering in articles from the same journal, with journals as the leveling variable.Results: A total of 750 articles from 25 journals were included. In the final multivariable model, the funding source (none, industry, government, foundation, university, or multiple), findings (positive, negative, neutral, or not applicable), and the journal's impact factor were significant at P<.05.Conclusion: Predictors of AAS are similar to predictors of traditional bibliometrics. Future studies need prospective dynamic data to further elucidate the AAS. [Orthopedics. 2024;47(6):e317-e321.].","PeriodicalId":19631,"journal":{"name":"Orthopedics","volume":" ","pages":"e317-e321"},"PeriodicalIF":1.1000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Orthopedics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3928/01477447-20240809-03","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Altmetric Attention Score (AAS) captures online attention received by a research article in addition to traditional bibliometrics. We present a comprehensive bibliometric analysis of high AAS articles and identify predictors of AAS in orthopedics.

Materials and methods: The top 30 articles with highest AAS were selected from orthopedic journals using the Dimensions App. Multilevel mixed-effects linear regression was used to address clustering in articles from the same journal, with journals as the leveling variable.

Results: A total of 750 articles from 25 journals were included. In the final multivariable model, the funding source (none, industry, government, foundation, university, or multiple), findings (positive, negative, neutral, or not applicable), and the journal's impact factor were significant at P<.05.

Conclusion: Predictors of AAS are similar to predictors of traditional bibliometrics. Future studies need prospective dynamic data to further elucidate the AAS. [Orthopedics. 2024;47(6):e317-e321.].

查看原文本刊更多论文

骨科研究中 Altmetric 关注分数预测因素的文献计量分析：调查在线可见性

背景介绍Altmetric Attention Score (AAS)除了传统的文献计量学之外，还能捕捉研究文章受到的在线关注。我们对AAS高的文章进行了全面的文献计量学分析，并确定了骨科AAS的预测因素：使用Dimensions App从骨科期刊中选出AAS最高的前30篇文章。使用多层次混合效应线性回归来解决同一期刊文章的聚类问题，并将期刊作为平差变量：结果：共收录了来自 25 种期刊的 750 篇文章。在最终的多变量模型中，资金来源（无、行业、政府、基金会、大学或多个）、研究结果（正面、负面、中性或不适用）以及期刊的影响因子在 PC 值上显著：AAS 的预测因素与传统文献计量学的预测因素相似。未来的研究需要前瞻性的动态数据来进一步阐明AAS。[20XX;4X(X):XXX-XXX.].

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Orthopedics 医学-整形外科

CiteScore

2.20

自引率

0.00%

发文量

160

审稿时长

3 months

期刊介绍： For over 40 years, Orthopedics, a bimonthly peer-reviewed journal, has been the preferred choice of orthopedic surgeons for clinically relevant information on all aspects of adult and pediatric orthopedic surgery and treatment. Edited by Robert D''Ambrosia, MD, Chairman of the Department of Orthopedics at the University of Colorado, Denver, and former President of the American Academy of Orthopaedic Surgeons, as well as an Editorial Board of over 100 international orthopedists, Orthopedics is the source to turn to for guidance in your practice. The journal offers access to current articles, as well as several years of archived content. Highlights also include Blue Ribbon articles published full text in print and online, as well as Tips & Techniques posted with every issue.