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Anatomical networks reveal the musculoskeletal modularity of the human head

Overview of attention for article published in Scientific Reports, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
34 tweeters
facebook
18 Facebook pages
googleplus
9 Google+ users

Readers on

mendeley
55 Mendeley
Title
Anatomical networks reveal the musculoskeletal modularity of the human head
Published in
Scientific Reports, February 2015
DOI 10.1038/srep08298
Pubmed ID
Authors

Borja Esteve-Altava, Rui Diogo, Christopher Smith, Julia C. Boughner, Diego Rasskin-Gutman

Abstract

Mosaic evolution is a key mechanism that promotes robustness and evolvability in living beings. For the human head, to have a modular organization would imply that each phenotypic module could grow and function semi-independently. Delimiting the boundaries of head modules, and even assessing their existence, is essential to understand human evolution. Here we provide the first study of the human head using anatomical network analysis (AnNA), offering the most complete overview of the modularity of the head to date. Our analysis integrates the many biological dependences that tie hard and soft tissues together, arising as a consequence of development, growth, stresses and loads, and motion. We created an anatomical network model of the human head, where nodes represent anatomical units and links represent their physical articulations. The analysis of the human head network uncovers the presence of 10 musculoskeletal modules, deep-rooted in these biological dependences, of developmental and evolutionary significance. In sum, this study uncovers new anatomical and functional modules of the human head using a novel quantitative method that enables a more comprehensive understanding of the evolutionary anatomy of our lineage, including the evolution of facial expression and facial asymmetry.

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Australia 1 2%
Mexico 1 2%
Poland 1 2%
Brazil 1 2%
Argentina 1 2%
Canada 1 2%
Unknown 46 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 10 18%
Student > Bachelor 6 11%
Other 6 11%
Professor > Associate Professor 6 11%
Other 17 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 53%
Medicine and Dentistry 7 13%
Unspecified 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Earth and Planetary Sciences 3 5%
Other 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 02 May 2016.
All research outputs
#82,606
of 7,639,268 outputs
Outputs from Scientific Reports
#1,071
of 29,801 outputs
Outputs of similar age
#3,649
of 235,832 outputs
Outputs of similar age from Scientific Reports
#41
of 1,094 outputs
Altmetric has tracked 7,639,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 96% 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 235,832 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 98% of its contemporaries.
We're also able to compare this research output to 1,094 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 96% of its contemporaries.