{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T01:54:40Z","timestamp":1776131680158,"version":"3.50.1"},"reference-count":19,"publisher":"Georg Thieme Verlag KG","issue":"01","license":[{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Indian J Plast Surg"],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003With 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.<\/jats:p><jats:p>\n          Methods\u2003Tweets containing the keywords \u201cfacial paralysis\u201d and \u201cBell's palsy\u201d 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.<\/jats:p><jats:p>\n          Results\u200332,880 tweets were made during the study period, with no significant difference in the number of tweets per year. A very strong (r\u2009=\u20090.8\u20131.0) positive correlation was found between time and frequency of the term \u201cplastic surgery\u201d and \u201ctransfer\u201d (p\u2009&lt;\u20090.05). A strong (r\u2009=\u20090.60\u20130.79) correlation was found between time and frequency for the following terms: \u201cfacial reanimation,\u201d \u201cgracilis,\u201d \u201cmasseter,\u201d \u201cplastics,\u201d \u201ctransplant\u201d (p\u2009&lt;\u20090.05). A total of 619 studies with the keyword \u201cfacial reanimation\u201d were published in PubMed within the study period. A very strong, positive correlation between publications per year and frequency was found for the terms \u201cplastic surgery,\u201d \u201cfunction\u201d and \u201cesthetic,\u201d and a strong, positive correlation was found for the \u201cplastics,\u201d \u201ctransplant,\u201d \u201cBotox,\u201d \u201csurgery,\u201d \u201ccosmetic,\u201d \u201caesthetic\u201d and \u201cinjection\u201d (p\u2009&lt;\u20090.05).<\/jats:p><jats:p>\n          Conclusions\u2003An increasing number of discussion about facial paralysis on Twitter correlates with increased publications and likely surgeon discourse on facial reanimation surgery, driving public interest.<\/jats:p>","DOI":"10.1055\/s-0041-1740080","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:24:30Z","timestamp":1639441470000},"page":"031-035","source":"Crossref","is-referenced-by-count":4,"title":["Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data"],"prefix":"10.1055","volume":"55","author":[{"given":"Hayeem L.","family":"Rudy","sequence":"additional","affiliation":[{"name":"The Division of Plastic and Reconstructive Surgery, Department of Surgery, Montefiore Medical Center, Bronx, New York, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph A.","family":"Ricci","sequence":"additional","affiliation":[{"name":"The Division of Plastic and Reconstructive Surgery, Department of Surgery, Montefiore Medical Center, Bronx, New York, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2021,12,13]]},"reference":[{"issue":"05","key":"ref1","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1097\/PRS.0000000000003769","article-title":"Social media and the plastic surgery patient","volume":"140","author":"S C Sorice","year":"2017","journal-title":"Plast Reconstr Surg"},{"issue":"05","key":"ref2","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1093\/asj\/sjw268","article-title":"Commentary on: A primer on social media for plastic surgeons: What do i need to know about social media and how can it help my practice?","volume":"37","author":"D Z Liu","year":"2017","journal-title":"Aesthet Surg J"},{"issue":"01","key":"ref3","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1055\/s-0040-1709942","article-title":"Why social media is transforming plastic surgery","volume":"53","author":"R J Rohrich","year":"2020","journal-title":"Indian J Plast Surg"},{"issue":"10","key":"ref4","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1093\/asj\/sjy055","article-title":"Insta-grated plastic surgery residencies: the rise of social media use by trainees and responsible guidelines for use","volume":"38","author":"A A Chandawarkar","year":"2018","journal-title":"Aesthet Surg J"},{"issue":"01","key":"ref5","doi-asserted-by":"crossref","first-page":"NP1","DOI":"10.1093\/asj\/sjw174","article-title":"Advertising on social media: the plastic surgeon's prerogative","volume":"37","author":"D Reissis","year":"2017","journal-title":"Aesthet Surg J"},{"issue":"12","key":"ref6","doi-asserted-by":"crossref","first-page":"e1958","DOI":"10.1097\/GOX.0000000000001958","article-title":"Plastic surgery faces the web: Analysis of the popular social media for plastic surgeons","volume":"6","author":"Y Ben Naftali","year":"2018","journal-title":"Plast Reconstr Surg Glob Open"},{"issue":"02","key":"ref7","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1055\/s-0040-1716612","article-title":"Pandemic pause: a mixed blessing","volume":"53","author":"D Kadam","year":"2020","journal-title":"Indian J Plast Surg"},{"issue":"08","key":"ref8","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1093\/asj\/sjy024","article-title":"The top 100 social media influencers in plastic surgery on twitter: who should you be following?","volume":"38","author":"A A Chandawarkar","year":"2018","journal-title":"Aesthet Surg J"},{"issue":"02","key":"ref9","doi-asserted-by":"crossref","first-page":"329e","DOI":"10.1097\/PRS.0000000000006463","article-title":"Can you trust what you watch? 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Examining plastic surgery perceptions through the twitterverse","volume":"142","author":"A Kalandar","year":"2018","journal-title":"Plast Reconstr Surg"},{"issue":"02","key":"ref14","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1109\/MCSE.2011.36","article-title":"Python for scientists and engineers","volume":"13","author":"K J Millman","year":"2011","journal-title":"Comput Sci Eng"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/asj\/sjz264","article-title":"Predicting public interest in nonsurgical cosmetic procedures using Google Trends","author":"J D Tijerina","year":"2019","journal-title":"Aesthet Surg J"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"S325","DOI":"10.1097\/SAP.0000000000001806","article-title":"The Utility of Google Trends Data for Analyzing Public Interest in Breast Procedures","volume":"82","author":"J D Tijerina","year":"2019","journal-title":"Ann Plast Surg"},{"issue":"01","key":"ref17","doi-asserted-by":"crossref","first-page":"NP34","DOI":"10.1093\/asj\/sjz051","article-title":"Analysis and interpretation of Google Trends data on public interest in cosmetic body procedures","volume":"40","author":"J D Tijerina","year":"2020","journal-title":"Aesthet Surg J"},{"issue":"08","key":"ref18","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1093\/asj\/sjy267","article-title":"Google Trends as a tool for evaluating public interest in facial cosmetic procedures","volume":"39","author":"J D Tijerina","year":"2019","journal-title":"Aesthet Surg J"},{"issue":"06","key":"ref19","doi-asserted-by":"crossref","first-page":"1669","DOI":"10.1007\/s00266-019-01466-7","article-title":"Celebrity influence affecting public interest in plastic surgery procedures: Google Trends analysis","volume":"43","author":"J D Tijerina","year":"2019","journal-title":"Aesthetic Plast Surg"},{"key":"ref20","first-page":"1","article-title":"Using Google Trends to analyze patient search interest in implant-based and autologous breast reconstruction","volume":"00","author":"L A Whipple","year":"2019","journal-title":"Breast J"},{"issue":"04","key":"ref21","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1097\/PRS.0000000000005445","article-title":"Plastic surgery and social media: examining perceptions","volume":"143","author":"M Chopan","year":"2019","journal-title":"Plast Reconstr Surg"}],"container-title":["Indian Journal of Plastic Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0041-1740080.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T23:19:18Z","timestamp":1650323958000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0041-1740080"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,13]]},"references-count":19,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2022,4,18]]},"published-print":{"date-parts":[[2022,2]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0041-1740080","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["0970-0358","1998-376X"],"issn-type":[{"value":"0970-0358","type":"print"},{"value":"1998-376X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,13]]}}}