ArticleAesthetic surgery journal. Open forum2022
Public Perception of Ideal Breast Shape.
Article in Aesthetic surgery journal. Open forum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Article
- Breast Augmentation Preferences and Concerns Among Chinese Women: A Nationwide Multicenter Study of 2066 Cases.Aesthetic plastic surgery · 2025Article
- Defining Femininity: Crowdsourced Insights on Gendered Facial Features Across Ethnicities.Aesthetic surgery journal. Open forum · 2025Article
- Cosmetic Surgery and the Diversity of Cultural and Ethnic Perceptions of Facial, Breast, and Gluteal Aesthetics in Women: A Comprehensive Review.Clinical, cosmetic and investigational dermatology · 2023Review
- Commentary on: Public Perception of Ideal Breast Shape.Aesthetic surgery journal. Open forum · 2022Article
- Thoughts on Public Perception of Ideal Breast Shape.Aesthetic surgery journal. Open forum · 2022Article
- Statistical Techniques Used in Public Perception of Ideal Breast Shape.Aesthetic surgery journal. Open forum · 2022Article
- Validation of Ideal Breast Characteristics With Breast Augmentation Patients.Aesthetic surgery journal. Open forum · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the past decade, there has been a dramatic increase in trends related to body-shaping procedures. According to the American Society of Plastic Surgeons, nearly 300,000 breast augmentation procedures were conducted in 2019. Learning the ideal shape of a breast and which esthetics lead to public perception of the most attractive breast is beneficial to properly performing these procedures.
objectivesThe authors aimed to quantify the public's perception of attraction to breast shape by measuring public opinion for various esthetic elements of breast anatomy and linking this to various demographic factors.
methodsSurvey responses were collected from 1000 users of Amazon Mechanical Turk to collect demographic data and ask users to rank preferences for randomized image panels of breast proportions.
results960 responses were used for analysis. A majority of respondents were male (60%), with a plurality being 25 to 34 years old (49.3%). The most notable preferences between all groups were breast projection proportion and nipple direction, with preferences of 1.0 and frontal nipple direction, respectively. Breast width to shoulder width ratio also had a clear preference among the crowd, with 105% being the preferred percentage, and the 25 to 34 age group having a very strong preference for this.
conclusionsThe authors used a crowdsourcing survey technique with randomized image panels to analyze ideal breast preference using images of various anatomical traits of the female breast. It was concluded that crowdsourcing can be a favorable technique for learning ideal overall preferences for specific anatomy.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.