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Vertebrate Myogenesis

Overview of attention for book
Attention for Chapter 8: Regulation of Skeletal Muscle Development and Disease by microRNAs
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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4 X users
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1 Facebook page

Citations

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9 Dimensions

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15 Mendeley
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Chapter title
Regulation of Skeletal Muscle Development and Disease by microRNAs
Chapter number 8
Book title
Vertebrate Myogenesis
Published in
Results and problems in cell differentiation, January 2015
DOI 10.1007/978-3-662-44608-9_8
Pubmed ID
Book ISBNs
978-3-66-244607-2, 978-3-66-244608-9
Authors

Ning Liu, Rhonda Bassel-Duby

Abstract

The identification of microRNAs (miRNA) in vertebrates has uncovered new mechanisms regulating skeletal muscle development and disease. miRNAs are inhibitors and act by silencing specific mRNAs or by repressing protein translation. In many cases, miRNAs are involved in physiological or pathological stress, suggesting they function to exacerbate or protect the organism during stress or disease. Although many skeletal muscle diseases differ in clinical and pathological manifestations, they all have a common feature of dysregulation of miRNA expression. In particular, analysis of miRNA expression patterns in skeletal muscle diseases reveals miRNA signatures, showing many miRNAs are dysregulated during disease. Emerging identification of miRNA targets and involvement in genetic regulatory networks serve to reveal new regulatory pathways in skeletal muscle biology. This chapter features the findings pertaining to skeletal muscle miRNAs in skeletal muscle development and disease and highlights therapeutic applications of miRNA-based technology in diagnosis and treatment of skeletal muscle myopathies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Professor > Associate Professor 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Other 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Computer Science 2 13%
Unspecified 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Other 2 13%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 March 2015.
All research outputs
#13,415,092
of 22,768,097 outputs
Outputs from Results and problems in cell differentiation
#65
of 217 outputs
Outputs of similar age
#172,821
of 352,897 outputs
Outputs of similar age from Results and problems in cell differentiation
#3
of 17 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 68% 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 352,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.