Evan M Polce, Cory J Call, Tessa C Griffin, Kyle N Kunze, Eric J Cotter, Brian F Grogan
{"title":"Artificial Intelligence Research Receives Similar Online Attention but Increased Citation Rates Compared With Control Articles.","authors":"Evan M Polce, Cory J Call, Tessa C Griffin, Kyle N Kunze, Eric J Cotter, Brian F Grogan","doi":"10.1016/j.arthro.2025.02.018","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To compare the social media attention and citation rates between artificial intelligence (AI) and non-AI research in the orthopaedic surgery literature.</p><p><strong>Methods: </strong>Research articles using AI for the purpose of statistical analysis or evaluating the use of AI for specific clinical use cases were included. Articles selected from 6 high-impact orthopaedic surgery journals between January 2018 and December 2023 were selected by month of publication in a 1:4 ratio within the same journal issue. The primary outcomes were the Altmetric Attention Score (AAS), an aggregate score comprising the degree of social media attention received on multiple online platforms (with higher scores indicating more attention), and cumulative citation rates. Multivariate linear regression analyses were conducted to assess the relationship (1) between article type and the AAS and (2) between article type and the citation rate. A subanalysis comparing the AAS and citation rates between articles using AI for the purpose of statistical analysis versus evaluating the use of AI for a specific clinical use case was performed.</p><p><strong>Results: </strong>A total of 540 articles (110 AI-related articles [20.0%] and 440 control articles [80.0%]) were included. The median AAS was 2.0 (interquartile range [IQR], 1-6) for AI-related articles and 1.0 (IQR, 0-5) for control articles (P = .006). However, when controlling for covariates in the multivariate regression, article type (AI vs control) was not significantly associated with the AAS (β = -1.1, P = .602). The median number of citations was significantly greater among AI-related articles (median, 18 [IQR, 9-35]) compared with control articles (median, 9 [IQR, 4-16]) (P < .001). Multivariate linear regression showed an additional average increase of 13.4 citations (95% confidence interval, 9.4-17.5; P < .001) per article for AI articles compared with control articles.</p><p><strong>Conclusions: </strong>AI research published in 6 orthopaedic surgery journals received approximately 13 additional citations on average compared with control articles published during a similar period. AI research did not receive greater social media attention on average after controlling for confounding variables.</p><p><strong>Clinical relevance: </strong>AI research in orthopaedic surgery did not receive greater online attention but was cited more frequently relative to control articles. Given the increasing academic impact of these articles, orthopaedic surgeons should become familiarized with AI research as clinical applications and AI solutions derived from such research become increasingly relevant and implemented within clinical practice workflows.</p>","PeriodicalId":55459,"journal":{"name":"Arthroscopy-The Journal of Arthroscopic and Related Surgery","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthroscopy-The Journal of Arthroscopic and Related Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.arthro.2025.02.018","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: To compare the social media attention and citation rates between artificial intelligence (AI) and non-AI research in the orthopaedic surgery literature.
Methods: Research articles using AI for the purpose of statistical analysis or evaluating the use of AI for specific clinical use cases were included. Articles selected from 6 high-impact orthopaedic surgery journals between January 2018 and December 2023 were selected by month of publication in a 1:4 ratio within the same journal issue. The primary outcomes were the Altmetric Attention Score (AAS), an aggregate score comprising the degree of social media attention received on multiple online platforms (with higher scores indicating more attention), and cumulative citation rates. Multivariate linear regression analyses were conducted to assess the relationship (1) between article type and the AAS and (2) between article type and the citation rate. A subanalysis comparing the AAS and citation rates between articles using AI for the purpose of statistical analysis versus evaluating the use of AI for a specific clinical use case was performed.
Results: A total of 540 articles (110 AI-related articles [20.0%] and 440 control articles [80.0%]) were included. The median AAS was 2.0 (interquartile range [IQR], 1-6) for AI-related articles and 1.0 (IQR, 0-5) for control articles (P = .006). However, when controlling for covariates in the multivariate regression, article type (AI vs control) was not significantly associated with the AAS (β = -1.1, P = .602). The median number of citations was significantly greater among AI-related articles (median, 18 [IQR, 9-35]) compared with control articles (median, 9 [IQR, 4-16]) (P < .001). Multivariate linear regression showed an additional average increase of 13.4 citations (95% confidence interval, 9.4-17.5; P < .001) per article for AI articles compared with control articles.
Conclusions: AI research published in 6 orthopaedic surgery journals received approximately 13 additional citations on average compared with control articles published during a similar period. AI research did not receive greater social media attention on average after controlling for confounding variables.
Clinical relevance: AI research in orthopaedic surgery did not receive greater online attention but was cited more frequently relative to control articles. Given the increasing academic impact of these articles, orthopaedic surgeons should become familiarized with AI research as clinical applications and AI solutions derived from such research become increasingly relevant and implemented within clinical practice workflows.
期刊介绍：
Nowhere is minimally invasive surgery explained better than in Arthroscopy, the leading peer-reviewed journal in the field. Every issue enables you to put into perspective the usefulness of the various emerging arthroscopic techniques. The advantages and disadvantages of these methods -- along with their applications in various situations -- are discussed in relation to their efficiency, efficacy and cost benefit. As a special incentive, paid subscribers also receive access to the journal expanded website.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
