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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developmental pathways inferred from modularity, morphological integration and fluctuating asymmetry patterns in the human face
|
|---|---|
| Published in |
Scientific Reports, January 2018
|
| DOI | 10.1038/s41598-018-19324-y |
| Pubmed ID | |
| Authors |
Mirsha Quinto-Sánchez, Francesc Muñoz-Muñoz, Jorge Gomez-Valdes, Celia Cintas, Pablo Navarro, Caio Cesar Silva de Cerqueira, Carolina Paschetta, Soledad de Azevedo, Virginia Ramallo, Victor Acuña-Alonzo, Kaustubh Adhikari, Macarena Fuentes-Guajardo, Tábita Hünemeier, Paola Everardo, Francisco de Avila, Claudia Jaramillo, Williams Arias, Carla Gallo, Giovani Poletti, Gabriel Bedoya, Maria Cátira Bortolini, Samuel Canizales-Quinteros, Francisco Rothhammer, Javier Rosique, Andres Ruiz-Linares, Rolando Gonzalez-Jose |
| Abstract |
Facial asymmetries are usually measured and interpreted as proxies to developmental noise. However, analyses focused on its developmental and genetic architecture are scarce. To advance on this topic, studies based on a comprehensive and simultaneous analysis of modularity, morphological integration and facial asymmetries including both phenotypic and genomic information are needed. Here we explore several modularity hypotheses on a sample of Latin American mestizos, in order to test if modularity and integration patterns differ across several genomic ancestry backgrounds. To do so, 4104 individuals were analyzed using 3D photogrammetry reconstructions and a set of 34 facial landmarks placed on each individual. We found a pattern of modularity and integration that is conserved across sub-samples differing in their genomic ancestry background. Specifically, a signal of modularity based on functional demands and organization of the face is regularly observed across the whole sample. Our results shed more light on previous evidence obtained from Genome Wide Association Studies performed on the same samples, indicating the action of different genomic regions contributing to the expression of the nose and mouth facial phenotypes. Our results also indicate that large samples including phenotypic and genomic metadata enable a better understanding of the developmental and genetic architecture of craniofacial phenotypes. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 9 | 14% |
| Student > Doctoral Student | 7 | 11% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 16 | 24% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 18% |
| Medicine and Dentistry | 9 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Arts and Humanities | 5 | 8% |
| Computer Science | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 18 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 February 2018.
All research outputs
#6,938,163
of 24,348,815 outputs
Outputs from Scientific Reports
#47,375
of 132,444 outputs
Outputs of similar age
#135,642
of 450,299 outputs
Outputs of similar age from Scientific Reports
#1,468
of 4,010 outputs
Altmetric has tracked 24,348,815 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 132,444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has gotten more attention than average, scoring higher than 63% 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 450,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4,010 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.