Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA.
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA.
World Neurosurg. 2022 Apr;160:e643-e648. doi: 10.1016/j.wneu.2022.01.108. Epub 2022 Feb 3.
Our study assesses the impact of an author's social media presence on citation rates and readership of spine literature.
The Altmetric database was queried for spine-related articles between 2016 and 2021; the top 100 by Altmetric Attention Score (AAS) were assessed. Public profile presence, number of followers, number of posts, and promotion of articles were assessed for Twitter/Instagram. Social media profiles were identified by searching for the author's name followed by "Twitter" or "Instagram" on Google.com or searching each platform. Descriptive statistics assessed social media use and attention metrics. Negative binomial regression assessed presence/promotion/number of followers/number of posts on Twitter/Instagram as predictors of Dimensions citation rates/AAS/Mendeley reader counts, while accounting for time passed since publication.
Twitter promotion was noted for 9.0% of articles and Instagram promotion for 1.0%. Mean number of Twitter and Instagram followers was 447.9 ± 1406.1(range: 0-9079) and 173.2 ± 1097.1(range: 0:10,700), respectively. Mean number of Twitter and Instagram posts was 411.6 ± 1210.5 and 18.4 ± 96.4, respectively. Dimensions citations ranged from 0-641, AAS from 79-2257, and Mendeley readers from 2-1854. Following negative binomial regression, Instagram presence was identified as a significant predictor of Mendeley readers (P = 0.043), number of Twitter posts was a significant predictor of AAS (P = 0.008). Additionally, Twitter presence was identified as a negative predictor of Mendeley readers (P = 0.005) and Twitter promotion was identified as a negative predictor of AAS (P = 0.003).
Activity on Twitter and Instagram may have variable associations with altmetrics of literature visibility and readership but with citation rates. Interestingly, presence/promotion on Twitter predicted less attention/readership, while Instagram presence predicted higher Mendeley readership.
本研究评估了作者在社交媒体上的存在对脊柱文献引用率和阅读量的影响。
在 2016 年至 2021 年期间，使用 Altmetric 数据库查询与脊柱相关的文章；评估 Altmetric 关注度得分（AAS）最高的前 100 篇文章。评估了 Twitter/Instagram 上的个人资料存在情况、关注者数量、帖子数量和文章推广情况。通过在 Google.com 上搜索作者姓名后加上“Twitter”或“Instagram”，或者在每个平台上搜索，来识别社交媒体资料。使用描述性统计评估社交媒体使用情况和关注度指标。使用负二项回归评估 Twitter 上的存在/推广/关注者数量/帖子数量/Instagram 作为 Dimensions 引文率/AAS/Mendeley 读者数量的预测因子，同时考虑自发表以来的时间流逝。
有 9.0%的文章有推文推广，1.0%的文章有 Instagram 推广。Twitter 和 Instagram 的平均关注者数量分别为 447.9±1406.1（范围：0-9079）和 173.2±1097.1（范围：0：10，700）。Twitter 和 Instagram 的平均帖子数量分别为 411.6±1210.5 和 18.4±96.4。Dimensions 引文数量范围为 0-641，AAS 为 79-2257，Mendeley 读者数量为 2-1854。在进行负二项回归后，Instagram 的存在被确定为 Mendeley 读者的显著预测因子（P=0.043），Twitter 帖子数量是 AAS 的显著预测因子（P=0.008）。此外，Twitter 的存在被确定为 Mendeley 读者的负预测因子（P=0.005），Twitter 的推广被确定为 AAS 的负预测因子（P=0.003）。
Twitter 和 Instagram 上的活动可能与文献可见性和阅读量的替代指标存在不同的关联，但与引文率有关。有趣的是，Twitter 上的存在/推广预测的关注度/阅读量较低，而 Instagram 的存在预测的 Mendeley 阅读量较高。
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