Baig Ammad A, Gerace Peter G, Khawar Wasiq I, Graffeo Christopher S, Lim Jaims, Vakharia Kunal, Davies Jason M, Siddiqui Adnan H, Reynolds Renée M, Levy Elad I
Departments of1Neurosurgery.
2Department of Neurosurgery, Gates Vascular Institute at Kaleida Health, Buffalo, New York.
J Neurosurg. 2024 Aug 16;142(1):257-263. doi: 10.3171/2024.4.JNS232119. Print 2025 Jan 1.
The authors sought to quantify the role of social media-related academic activity through use of the Altmetric score (a composite score based on social media attention from a variety of sources) and investigate its potential impact on the number of citations received at 3 years postpublication (articles published between January 2019 and December 2019).
Articles published in the top 12 neurosurgical journals according to Google Scholar (based on 5-year Web of Science impact factors, 2017-2021) were identified. Data collected included days since publication, Altmetric scores, and total number of tweets (posts), and 3-year citations were obtained from Google Scholar. A multiple linear regression model was created that featured a blocking method to stratify confounding variables from most to least contributing. Furthermore, the data were dichotomized by publications with ≥ 10 citations (top 25th percentile) and those with < 10 to analyze the impact of the score on total number of citations received at 3 years, using an independent-samples Mann-Whitney U-test.
Among 6721 included articles, the mean Altmetric score was 3.76 ± 15.69 and the mean number of citations received was 9.61 ± 22.16. When accounting for relevant control variables, the Altmetric score was a significant predictor of the total number of citations accumulated at 3 years (variability of 10.17%). On statistical testing, the Altmetric score was significantly higher in publications with ≥ 10 citations (p < 0.001).
The authors report a strong, statistically significant correlation between the Altmetric score and the number of citations received. To their knowledge, this is the first study to demonstrate the impact of social media academic activity on neurosurgery article citation dissemination, potentially influencing resident medical education.
作者试图通过使用Altmetric评分(一种基于来自各种来源的社交媒体关注度的综合评分)来量化与社交媒体相关的学术活动的作用,并调查其对发表后3年获得的引用次数的潜在影响(2019年1月至2019年12月发表的文章)。
根据谷歌学术(基于2017 - 2021年5年的科学引文索引影响因子)确定发表在12种顶级神经外科期刊上的文章。收集的数据包括自发表以来的天数、Altmetric评分和推文(帖子)总数,并从谷歌学术获取3年的引用次数。创建了一个多元线性回归模型,该模型采用一种分组方法,将混杂变量从贡献最大到最小进行分层。此外,数据被分为引用次数≥10次(前25百分位数)的出版物和引用次数<10次的出版物,使用独立样本曼 - 惠特尼U检验来分析该评分对3年获得的总引用次数的影响。
在纳入的6721篇文章中,平均Altmetric评分为3.76±15.69,平均获得的引用次数为9.61±22.16。在考虑相关控制变量时,Altmetric评分是3年累计总引用次数的显著预测因子(变异率为10.17%)。经统计检验,引用次数≥10次的出版物的Altmetric评分显著更高(p<0.001)。
作者报告了Altmetric评分与获得的引用次数之间存在强的、具有统计学意义的相关性。据他们所知,这是第一项证明社交媒体学术活动对神经外科文章引用传播的影响的研究,可能会影响住院医师医学教育。