Suppr超能文献

挖掘推特领域:基于十年推特数据洞察公众对面部重建手术的兴趣

Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data.

作者信息

Rudy Hayeem L, Ricci Joseph A

机构信息

The Division of Plastic and Reconstructive Surgery, Department of Surgery, Montefiore Medical Center, Bronx, New York, United States.

出版信息

Indian J Plast Surg. 2021 Dec 13;55(1):31-35. doi: 10.1055/s-0041-1740080. eCollection 2022 Feb.

Abstract

With 500 million tweets posted daily, Twitter can provide valuable insights about public discourse surrounding niche topics, such as facial paralysis surgery. This study aims to describe public interest on Twitter relating to facial paralysis and facial reanimation surgery over the last decade.  Tweets containing the keywords "facial paralysis" and "Bell's palsy" posted between January 1, 2009, and January 1, 2019, were collected using Twitter Scraper. Tweets were screened by keywords relating to facial paralysis, and usage of these terms trended over time. Logistic regression was used to identify correlations between the quantity of publications per year and these terms posted on Twitter.  32,880 tweets were made during the study period, with no significant difference in the number of tweets per year. A very strong (  = 0.8-1.0) positive correlation was found between time and frequency of the term "plastic surgery" and "transfer" (  < 0.05). A strong (  = 0.60-0.79) correlation was found between time and frequency for the following terms: "facial reanimation," "gracilis," "masseter," "plastics," "transplant" (  < 0.05). A total of 619 studies with the keyword "facial reanimation" were published in PubMed within the study period. A very strong, positive correlation between publications per year and frequency was found for the terms "plastic surgery," "function" and "esthetic," and a strong, positive correlation was found for the "plastics," "transplant," "Botox," "surgery," "cosmetic," "aesthetic" and "injection" (  < 0.05).  An increasing number of discussion about facial paralysis on Twitter correlates with increased publications and likely surgeon discourse on facial reanimation surgery, driving public interest.

摘要

推特每天发布5亿条推文,它能够提供有关围绕特定主题(如面瘫手术)的公众话语的宝贵见解。本研究旨在描述过去十年推特上与面瘫和面部重建手术相关的公众兴趣。

使用推特爬虫工具收集了2009年1月1日至2019年1月1日期间发布的包含关键词“面瘫”和“贝尔氏面瘫”的推文。通过与面瘫相关的关键词对推文进行筛选,并观察这些术语的使用随时间的趋势。使用逻辑回归来确定每年的出版物数量与推特上发布的这些术语之间的相关性。

在研究期间共发布了32,880条推文,每年的推文数量没有显著差异。发现“整形手术”和“转移”这两个术语的时间与频率之间存在非常强的(r = 0.8 - 1.0)正相关(p < 0.05)。对于以下术语,时间与频率之间发现了强(r = 0.60 - 0.79)相关性:“面部重建”、“股薄肌”、“咬肌”、“整形”、“移植”(p < 0.05)。在研究期间,共有619项以“面部重建”为关键词的研究发表在《医学主题词表》中。发现“整形手术”、“功能”和“美学”等术语每年的出版物数量与频率之间存在非常强的正相关,并且对于“整形”、“移植”、“肉毒杆菌毒素”、“手术”、“美容”、“美学”和“注射”等术语存在强正相关(p < 0.05)。

推特上关于面瘫的讨论越来越多,这与出版物数量的增加以及面部重建手术方面外科医生的讨论增多相关,从而推动了公众兴趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad5d/9015838/efb4190958db/10-1055-s-0041-1740080-i2111070-1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验