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Self-Organization of Muscle Cell Structure and Function

Overview of attention for article published in PLoS Computational Biology, February 2011
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1 Redditor

Citations

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103 Dimensions

Readers on

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158 Mendeley
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Title
Self-Organization of Muscle Cell Structure and Function
Published in
PLoS Computational Biology, February 2011
DOI 10.1371/journal.pcbi.1001088
Pubmed ID
Authors

Anna Grosberg, Po-Ling Kuo, Chin-Lin Guo, Nicholas A. Geisse, Mark-Anthony Bray, William J. Adams, Sean P. Sheehy, Kevin Kit Parker

Abstract

The organization of muscle is the product of functional adaptation over several length scales spanning from the sarcomere to the muscle bundle. One possible strategy for solving this multiscale coupling problem is to physically constrain the muscle cells in microenvironments that potentiate the organization of their intracellular space. We hypothesized that boundary conditions in the extracellular space potentiate the organization of cytoskeletal scaffolds for directed sarcomeregenesis. We developed a quantitative model of how the cytoskeleton of neonatal rat ventricular myocytes organizes with respect to geometric cues in the extracellular matrix. Numerical results and in vitro assays to control myocyte shape indicated that distinct cytoskeletal architectures arise from two temporally-ordered, organizational processes: the interaction between actin fibers, premyofibrils and focal adhesions, as well as cooperative alignment and parallel bundling of nascent myofibrils. Our results suggest that a hierarchy of mechanisms regulate the self-organization of the contractile cytoskeleton and that a positive feedback loop is responsible for initiating the break in symmetry, potentiated by extracellular boundary conditions, is required to polarize the contractile cytoskeleton.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 2 1%
Brazil 1 <1%
Chile 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 147 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 35%
Researcher 24 15%
Student > Master 18 11%
Student > Bachelor 10 6%
Student > Doctoral Student 8 5%
Other 20 13%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 27%
Engineering 41 26%
Biochemistry, Genetics and Molecular Biology 14 9%
Physics and Astronomy 7 4%
Materials Science 5 3%
Other 22 14%
Unknown 26 16%
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 09 June 2011.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#8,653
of 9,043 outputs
Outputs of similar age
#112,219
of 118,818 outputs
Outputs of similar age from PLoS Computational Biology
#62
of 62 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 118,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.