Firas Moussa, Thomas Leonard, Mitchell J Christiansen, Mary K Mulcahey
{"title":"The Influence of Media Type and Posting Time on Altmetric Engagement of Orthopaedic Surgery Journals on X.","authors":"Firas Moussa, Thomas Leonard, Mitchell J Christiansen, Mary K Mulcahey","doi":"10.5435/JAAOSGlobal-D-26-00178","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Digital promotion of orthopaedic research is increasingly associated with scholarly visibility yet the influence of specific social media posting characteristics on online attention remains unclear. The Altmetric Attention Score (AAS) is a weighted score that measures the amount of attention a study has received. The score is based on three factors: the volume of mentions, the medium the mention came from, and the author of the mention. In orthopaedic research, a higher AAS is correlated with higher citation rates. The purpose of this study was to examine the relationship between AAS and the presence of various types of multimedia in posts on X by orthopaedic surgery journals and the time posts were made.</p><p><strong>Methods: </strong>Data were collected from the X accounts of the British Journal of Sports Medicine (BJSM), Journal of Bone and Joint Surgery (JBJS), Arthroscopy, Journal of Arthroplasty, American Orthopedic Society for Sports Medicine Journals (AOSSM), and Journal of the American Academy of Orthopaedic Surgeons (JAAOS) over two separate periods, January 1, 2023, to June 31, 2023, and July 1, 2024, to December 31, 2024. Media types were classified into the following categories: no media, text only, simple media, infographics, and videos. To analyze the effect of post time on AAS score, posts were grouped into three different time groups: 10 pm to 5:59 am, 6 am to 1:59 pm, and 2 pm to 9:59 pm. Statistical analysis for data sets with three or more groups was done with an Analysis of Variance (ANOVA) with post hoc t-tests performed when statistical significance was found. For data sets with only two groups, t-tests were done.</p><p><strong>Results: </strong>One-way ANOVA results showed a significant difference in the average AAS between media types for the Journal of Bone and Joint Surgery (JBJS) in the 2024 period (P < 0.01) and in Arthroscopy for both the 2023 and 2024 periods (P < 0.0001 and P < 0.05, respectively). Post hoc t-tests showed a significant difference in average AAS between simple media and infographics for JBJS in 2024 with average AAS scores of 2.81 and 11, respectively (P < 0.001). In 2023, Arthroscopy showed significant differences in the average AAS of simple media vs infographics, simple media vs text only, and infographics vs no media (P < 0.0001, 0.0001, and 0.05, respectively). In 2024, Arthroscopy showed significant differences in average AAS for simple media vs infographics, videos vs infographics, and videos vs text only with P < 0.05, 0.005, and 0.05, respectively. For the American Orthopaedic Society for Sports Medicine (AOSSM) journals, t-tests showed a statistically significant difference in average AAS between posts made from 6 am to 1:59 pm and posts made from 2 pm to 9:59 pm with a P < 0.05 and average AAS of 12.9 and 74.5, respectively.</p><p><strong>Conclusion: </strong>Although results were not consistent across all journals, one trend was the increased AAS of infographics. This repeated success suggests a promising avenue for orthopaedic journals to improve the reach of their studies by increasing the utilization of infographics. Time posted did not seem to have a notable effect on AAS, but for the AOSSM Sports Medicine journals, the time frame of 2 pm to 9:59 pm may be an optimal time to maximize reach. Future studies with larger data sets and the development of an objective media classification system may provide an avenue toward strengthening the findings of this study and developing more precise strategies for orthopaedic journals to optimize their social media presence.</p>","PeriodicalId":45062,"journal":{"name":"Journal of the American Academy of Orthopaedic Surgeons Global Research and Reviews","volume":"10 8","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13395518/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Academy of Orthopaedic Surgeons Global Research and Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5435/JAAOSGlobal-D-26-00178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Digital promotion of orthopaedic research is increasingly associated with scholarly visibility yet the influence of specific social media posting characteristics on online attention remains unclear. The Altmetric Attention Score (AAS) is a weighted score that measures the amount of attention a study has received. The score is based on three factors: the volume of mentions, the medium the mention came from, and the author of the mention. In orthopaedic research, a higher AAS is correlated with higher citation rates. The purpose of this study was to examine the relationship between AAS and the presence of various types of multimedia in posts on X by orthopaedic surgery journals and the time posts were made.
Methods: Data were collected from the X accounts of the British Journal of Sports Medicine (BJSM), Journal of Bone and Joint Surgery (JBJS), Arthroscopy, Journal of Arthroplasty, American Orthopedic Society for Sports Medicine Journals (AOSSM), and Journal of the American Academy of Orthopaedic Surgeons (JAAOS) over two separate periods, January 1, 2023, to June 31, 2023, and July 1, 2024, to December 31, 2024. Media types were classified into the following categories: no media, text only, simple media, infographics, and videos. To analyze the effect of post time on AAS score, posts were grouped into three different time groups: 10 pm to 5:59 am, 6 am to 1:59 pm, and 2 pm to 9:59 pm. Statistical analysis for data sets with three or more groups was done with an Analysis of Variance (ANOVA) with post hoc t-tests performed when statistical significance was found. For data sets with only two groups, t-tests were done.
Results: One-way ANOVA results showed a significant difference in the average AAS between media types for the Journal of Bone and Joint Surgery (JBJS) in the 2024 period (P < 0.01) and in Arthroscopy for both the 2023 and 2024 periods (P < 0.0001 and P < 0.05, respectively). Post hoc t-tests showed a significant difference in average AAS between simple media and infographics for JBJS in 2024 with average AAS scores of 2.81 and 11, respectively (P < 0.001). In 2023, Arthroscopy showed significant differences in the average AAS of simple media vs infographics, simple media vs text only, and infographics vs no media (P < 0.0001, 0.0001, and 0.05, respectively). In 2024, Arthroscopy showed significant differences in average AAS for simple media vs infographics, videos vs infographics, and videos vs text only with P < 0.05, 0.005, and 0.05, respectively. For the American Orthopaedic Society for Sports Medicine (AOSSM) journals, t-tests showed a statistically significant difference in average AAS between posts made from 6 am to 1:59 pm and posts made from 2 pm to 9:59 pm with a P < 0.05 and average AAS of 12.9 and 74.5, respectively.
Conclusion: Although results were not consistent across all journals, one trend was the increased AAS of infographics. This repeated success suggests a promising avenue for orthopaedic journals to improve the reach of their studies by increasing the utilization of infographics. Time posted did not seem to have a notable effect on AAS, but for the AOSSM Sports Medicine journals, the time frame of 2 pm to 9:59 pm may be an optimal time to maximize reach. Future studies with larger data sets and the development of an objective media classification system may provide an avenue toward strengthening the findings of this study and developing more precise strategies for orthopaedic journals to optimize their social media presence.
导读:骨科研究的数字化推广越来越多地与学术知名度联系在一起,但具体的社交媒体发布特征对在线关注的影响尚不清楚。Altmetric Attention Score (AAS)是一个加权分数,用来衡量一项研究所获得的注意力。该评分基于三个因素:被提及的次数、被提及的媒体和被提及的作者。在骨科研究中,较高的AAS与较高的引用率相关。本研究的目的是探讨各种类型的多媒体在骨科外科期刊X上的帖子中存在的关系,以及帖子的时间。方法:从2023年1月1日至2023年6月31日和2024年7月1日至2024年12月31日两个不同时期的《英国运动医学杂志》(BJSM)、《骨与关节外科杂志》(JBJS)、《关节镜》(Arthroscopy)、《关节成形术杂志》(Journal of Arthroplasty)、《美国骨科运动医学学会杂志》(AOSSM)和《美国骨科学会杂志》(JAAOS)的X篇报道中收集数据。媒体类型分为以下几类:无媒体、纯文本、简单媒体、信息图表和视频。为了分析帖子时间对AAS评分的影响,将帖子分为三个不同的时间组:晚上10点至5:59,早上6点至1:59,下午2点至9:59。对包含三个或更多组的数据集进行统计分析,采用方差分析(ANOVA),并在发现统计显著性时进行事后t检验。对于只有两组的数据集,进行t检验。结果:单因素方差分析结果显示,《骨与关节外科杂志》(Journal of Bone and Joint Surgery, JBJS)杂志2024年期间的平均AAS与《关节镜》杂志2023年和2024年期间的平均AAS有显著差异(P < 0.0001和P < 0.05)。事后t检验显示,2024年JBJS简单媒体与信息图表的平均AAS分别为2.81分和11分,差异有统计学意义(P < 0.001)。在2023年,关节镜检查显示简单介质与信息图、简单介质与纯文本、信息图与无介质的平均AAS有显著差异(P分别< 0.0001、0.0001和0.05)。2024年,关节镜在简单媒体与信息图表、视频与信息图表、视频与纯文本的平均AAS上分别显示P < 0.05、0.005和0.05的显著差异。美国骨科运动医学学会(American Orthopaedic Society For Sports Medicine, AOSSM)期刊的t检验显示,上午6点至下午1:59和下午2点至9:59发文的平均AAS差异有统计学意义(P < 0.05),平均AAS分别为12.9和74.5。结论:虽然结果在所有期刊中并不一致,但有一个趋势是信息图的AAS增加。这种反复的成功表明,通过增加信息图的使用,骨科期刊有希望提高其研究的范围。发布的时间似乎对AAS没有显著影响,但对于AOSSM运动医学期刊来说,下午2点到9点59分的时间框架可能是最大限度地达到目标的最佳时间。未来有更大数据集的研究和客观媒体分类系统的发展可能会为加强本研究的发现和为骨科期刊开发更精确的策略来优化其社交媒体存在提供途径。