↓ Skip to main content

Regulation of skeletal muscle growth by the IGF1-Akt/PKB pathway: insights from genetic models

Overview of attention for article published in Skeletal Muscle, January 2011
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 388)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
1 X user
patent
6 patents
wikipedia
1 Wikipedia page
video
2 YouTube creators

Citations

dimensions_citation
581 Dimensions

Readers on

mendeley
834 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Regulation of skeletal muscle growth by the IGF1-Akt/PKB pathway: insights from genetic models
Published in
Skeletal Muscle, January 2011
DOI 10.1186/2044-5040-1-4
Pubmed ID
Authors

Stefano Schiaffino, Cristina Mammucari

Abstract

A highly conserved signaling pathway involving insulin-like growth factor 1 (IGF1), and a cascade of intracellular components that mediate its effects, plays a major role in the regulation of skeletal muscle growth. A central component in this cascade is the kinase Akt, also called protein kinase B (PKB), which controls both protein synthesis, via the kinases mammalian target of rapamycin (mTOR) and glycogen synthase kinase 3β (GSK3β), and protein degradation, via the transcription factors of the FoxO family. In this paper, we review the composition and function of this pathway in skeletal muscle fibers, focusing on evidence obtained in vivo by transgenic and knockout models and by muscle transient transfection experiments. Although this pathway is essential for muscle growth during development and regeneration, its role in adult muscle response to mechanical load is less clear. A full understanding of the operation of this pathway could help to design molecularly targeted therapeutics aimed at preventing muscle wasting, which occurs in a variety of pathologic contexts and in the course of aging.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 834 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 <1%
Spain 4 <1%
United Kingdom 4 <1%
United States 3 <1%
Italy 3 <1%
Canada 2 <1%
Portugal 1 <1%
Ireland 1 <1%
Turkey 1 <1%
Other 4 <1%
Unknown 806 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 153 18%
Student > Master 132 16%
Student > Bachelor 109 13%
Researcher 99 12%
Student > Doctoral Student 47 6%
Other 142 17%
Unknown 152 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 237 28%
Biochemistry, Genetics and Molecular Biology 154 18%
Medicine and Dentistry 87 10%
Sports and Recreations 67 8%
Engineering 19 2%
Other 89 11%
Unknown 181 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 28 December 2023.
All research outputs
#889,093
of 25,394,764 outputs
Outputs from Skeletal Muscle
#6
of 388 outputs
Outputs of similar age
#4,059
of 193,999 outputs
Outputs of similar age from Skeletal Muscle
#1
of 8 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 388 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 98% 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 193,999 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 97% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them