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Variational modularity at the cell level: insights from the sperm head of the house mouse

Overview of attention for article published in BMC Ecology and Evolution, September 2013
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Title
Variational modularity at the cell level: insights from the sperm head of the house mouse
Published in
BMC Ecology and Evolution, September 2013
DOI 10.1186/1471-2148-13-179
Pubmed ID
Authors

Nuria Medarde, Francesc Muñoz-Muñoz, María José López-Fuster, Jacint Ventura

Abstract

Modularity is an important feature in the evolvability of organisms, since it allows the occurrence of complex adaptations at every single level of biological systems. While at the cellular level the modular organization of molecular interactions has been analyzed in detail, the phenotypic modularity (or variational modularity) of cell shape remains unexplored. The mammalian spermatozoon constitutes one of the most complex and specialized cell types found in organisms. The structural heterogeneity found in the sperm head suggests an association between its inner composition, shape and specificity of function. However, little is known about the extent of the connections between these features. Taking advantage of the house mouse sperm morphology, we analyzed the variational modularity of the sperm head by testing several hypotheses related to its structural and functional organization. Because chromosomal rearrangements can affect the genotype-phenotype map of individuals and thus modify the patterns of covariation between traits, we also evaluate the effect of Robertsonian translocations on the modularity pattern of the sperm head.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 24%
Student > Ph. D. Student 5 20%
Researcher 4 16%
Other 2 8%
Student > Postgraduate 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 44%
Biochemistry, Genetics and Molecular Biology 5 20%
Environmental Science 2 8%
Computer Science 2 8%
Physics and Astronomy 1 4%
Other 2 8%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2013.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#157,806
of 208,970 outputs
Outputs of similar age from BMC Ecology and Evolution
#63
of 69 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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