#PlasticsTwitter: The Use of Twitter Data as a Tool for Evaluating Public Interest in Cosmetic Surgery Procedures.
Abstract
[BACKGROUND] Plastic surgeons are increasingly turning to social media to market their services. The newly released Twitter Academic Research Product Track (TARPT) database provides free, customizable analysis of keywords that are included in tweets on the Twitter platform. The TARPT tool may provide valuable insight into public interest in cosmetic surgery procedures.
[OBJECTIVES] The aim of this study was to determine TARPT's utility in tracking and predicting public interest in cosmetic surgery procedures and to examine temporal trends in tweets related to cosmetic facial and body procedures.
[METHODS] The TARPT tool was used to calculate the total number of tweets containing keywords related to 10 facial cosmetic procedures and 7 cosmetic body procedures from 2010 to 2020. Annual volumes for respective procedures were obtained from annual statistics reports of The Aesthetic Society from 2010 to 2020. Tweet volumes and procedure volumes were compared by univariate linear regression, taking P < 0.05 as the cutoff for significance.
[RESULTS] Variations in tweet volume were observed. Univariate linear regression analysis demonstrated statistically significant positive correlations between tweet volumes and procedure volumes for 7 search terms: "eyelid lift," "facelift," "lip injections," "mastopexy," "butt lift," "butt implants," and "liposuction." Many procedure-related keywords were not significant, demonstrating the importance of careful selection of Twitter search terms.
[CONCLUSIONS] The TARPT database represents a promising novel source of information for plastic surgeons, with the potential to inform marketing and advertising decisions for emerging trends in plastic surgery interest before these patterns become apparent in surgical or clinical volumes.
[OBJECTIVES] The aim of this study was to determine TARPT's utility in tracking and predicting public interest in cosmetic surgery procedures and to examine temporal trends in tweets related to cosmetic facial and body procedures.
[METHODS] The TARPT tool was used to calculate the total number of tweets containing keywords related to 10 facial cosmetic procedures and 7 cosmetic body procedures from 2010 to 2020. Annual volumes for respective procedures were obtained from annual statistics reports of The Aesthetic Society from 2010 to 2020. Tweet volumes and procedure volumes were compared by univariate linear regression, taking P < 0.05 as the cutoff for significance.
[RESULTS] Variations in tweet volume were observed. Univariate linear regression analysis demonstrated statistically significant positive correlations between tweet volumes and procedure volumes for 7 search terms: "eyelid lift," "facelift," "lip injections," "mastopexy," "butt lift," "butt implants," and "liposuction." Many procedure-related keywords were not significant, demonstrating the importance of careful selection of Twitter search terms.
[CONCLUSIONS] The TARPT database represents a promising novel source of information for plastic surgeons, with the potential to inform marketing and advertising decisions for emerging trends in plastic surgery interest before these patterns become apparent in surgical or clinical volumes.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | mastopexy
|
유방성형술 | dict | 1 | |
| 시술 | facelift
|
안면거상술 | dict | 1 | |
| 시술 | liposuction
|
지방흡입 | dict | 1 | |
| 해부 | eyelid
|
눈꺼풀 | dict | 1 | |
| 해부 | lip
|
scispacy | 1 | ||
| 합병증 | butt
|
scispacy | 1 | ||
| 약물 | [BACKGROUND] Plastic surgeons are
|
scispacy | 1 | ||
| 약물 | [OBJECTIVES]
|
scispacy | 1 | ||
| 약물 | [CONCLUSIONS] The
|
scispacy | 1 |
MeSH Terms
Esthetics; Humans; Lipectomy; Mammaplasty; Social Media; Surgery, Plastic
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