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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating the Sex-Specific Effects of Genes on Facial Attractiveness and Sexual Dimorphism
|
|---|---|
| Published in |
Behavior Genetics, November 2013
|
| DOI | 10.1007/s10519-013-9627-5 |
| Pubmed ID | |
| Authors |
Dorian G. Mitchem, Alicia M. Purkey, Nicholas M. Grebe, Gregory Carey, Christine E. Garver-Apgar, Timothy C. Bates, Rosalind Arden, John K. Hewitt, Sarah E. Medland, Nicholas G. Martin, Brendan P. Zietsch, Matthew C. Keller |
| Abstract |
Human facial attractiveness and facial sexual dimorphism (masculinity-femininity) are important facets of mate choice and are hypothesized to honestly advertise genetic quality. However, it is unclear whether genes influencing facial attractiveness and masculinity-femininity have similar, opposing, or independent effects across sex, and the heritability of these phenotypes is poorly characterized. To investigate these issues, we assessed facial attractiveness and facial masculinity-femininity in the largest genetically informative sample (n = 1,580 same- and opposite-sex twin pairs and siblings) to assess these questions to date. The heritability was ~0.50-0.70 for attractiveness and ~0.40-0.50 for facial masculinity-femininity, indicating that, despite ostensible selection on genes influencing these traits, substantial genetic variation persists in both. Importantly, we found evidence for intralocus sexual conflict, whereby alleles that increase masculinity in males have the same effect in females. Additionally, genetic influences on attractiveness were shared across the sexes, suggesting that attractive fathers tend to have attractive daughters and attractive mothers tend to have attractive sons. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 13% |
| United Kingdom | 2 | 13% |
| Colombia | 1 | 6% |
| Czechia | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Czechia | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 59 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Student > Master | 14 | 22% |
| Student > Bachelor | 5 | 8% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 30% |
| Medicine and Dentistry | 8 | 13% |
| Agricultural and Biological Sciences | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Social Sciences | 4 | 6% |
| Other | 6 | 10% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2023.
All research outputs
#1,408,640
of 24,356,663 outputs
Outputs from Behavior Genetics
#71
of 940 outputs
Outputs of similar age
#13,152
of 219,096 outputs
Outputs of similar age from Behavior Genetics
#2
of 11 outputs
Altmetric has tracked 24,356,663 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 940 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 219,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.