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</script>Background: YouTube is the most accessed video website in the world. It hosts a variety of medical content. Plastic surgery-related content on YouTube has not been investigated before. In this study, we analyzed the most prevalent plastic surgery-related content available on YouTube. Methods: Search terms were selected to cover the broad topics of plastic surgery. The top 20 most-viewed videos returned for each search term were analyzed. The videos were classified by the type of content, authorship, number of views, and number of likes. Data were collected and analyzed using Microsoft Excel (2016) program. Results: Out of the 280 videos analyzed, “patient experience” was the most prevalent content type. Thirty percent of the analyzed videos were uploaded by medical centers, and 29% were uploaded from personal accounts. Educational video content constituted 6% of the total videos analyzed. Entertainment was the most prevalent (60%) content type returned when “plastic surgery” was used as the search term. Conclusions: YouTube is an underutilized social media platform by plastic surgeons. The entertainment industry is taking advantage of the social media platform to attract and gain millions of views. Educational videos are low in number and quality.
RD1-811, Surgery, Special Topic
RD1-811, Surgery, Special Topic
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
