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Skeletal muscle tissue engineering: strategies for volumetric constructs

Overview of attention for article published in Frontiers in Physiology, September 2014
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Title
Skeletal muscle tissue engineering: strategies for volumetric constructs
Published in
Frontiers in Physiology, September 2014
DOI 10.3389/fphys.2014.00362
Pubmed ID
Authors

Giorgio Cittadella Vigodarzere, Sara Mantero

Abstract

Skeletal muscle tissue is characterized by high metabolic requirements, defined structure and high regenerative potential. As such, it constitutes an appealing platform for tissue engineering to address volumetric defects, as proven by recent works in this field. Several issues common to all engineered constructs constrain the variety of tissues that can be realized in vitro, principal among them the lack of a vascular system and the absence of reliable cell sources; as it is, the only successful tissue engineering constructs are not characterized by active function, present limited cellular survival at implantation and possess low metabolic requirements. Recently, functionally competent constructs have been engineered, with vascular structures supporting their metabolic requirements. In addition to the use of biochemical cues, physical means, mechanical stimulation and the application of electric tension have proven effective in stimulating the differentiation of cells and the maturation of the constructs; while the use of co-cultures provided fine control of cellular developments through paracrine activity. This review will provide a brief analysis of some of the most promising improvements in the field, with particular attention to the techniques that could prove easily transferable to other branches of tissue engineering.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Chile 1 <1%
United States 1 <1%
Russia 1 <1%
Unknown 225 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 22%
Student > Master 43 19%
Student > Bachelor 34 15%
Researcher 30 13%
Student > Doctoral Student 12 5%
Other 26 11%
Unknown 33 14%
Readers by discipline Count As %
Engineering 58 25%
Agricultural and Biological Sciences 44 19%
Biochemistry, Genetics and Molecular Biology 35 15%
Medicine and Dentistry 15 7%
Physics and Astronomy 6 3%
Other 21 9%
Unknown 50 22%
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 22 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Frontiers in Physiology
#9,331
of 13,560 outputs
Outputs of similar age
#210,091
of 251,438 outputs
Outputs of similar age from Frontiers in Physiology
#82
of 127 outputs
Altmetric has tracked 22,764,165 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 13,560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. 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 251,438 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 127 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.