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Body size regulation and insulin-like growth factor signaling

Overview of attention for article published in Cellular and Molecular Life Sciences, March 2013
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Title
Body size regulation and insulin-like growth factor signaling
Published in
Cellular and Molecular Life Sciences, March 2013
DOI 10.1007/s00018-013-1313-5
Pubmed ID
Authors

Seogang Hyun

Abstract

How animals achieve their specific body size is a fundamental, but still largely unresolved, biological question. Over the past decades, studies on the insect model system have provided some important insights into the process of body size determination and highlighted the importance of insulin/insulin-like growth factor signaling. Fat body, the Drosophila counterpart of liver and adipose tissue, senses nutrient availability and controls larval growth rate by modulating peripheral insulin signaling. Similarly, insulin-like growth factor I produced from liver and muscle promotes postnatal body growth in mammals. Organismal growth is tightly coupled with the process of sexual maturation wherein the sex steroid hormone attenuates body growth. This review summarizes some important findings from Drosophila and mammalian studies that shed light on the general mechanism of animal size determination.

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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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Brazil 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 103 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 17 16%
Student > Master 12 11%
Student > Bachelor 8 7%
Professor > Associate Professor 8 7%
Other 19 18%
Unknown 24 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 42%
Biochemistry, Genetics and Molecular Biology 16 15%
Medicine and Dentistry 5 5%
Neuroscience 4 4%
Environmental Science 3 3%
Other 10 9%
Unknown 25 23%
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 20 March 2013.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,458
of 4,151 outputs
Outputs of similar age
#152,153
of 199,301 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#23
of 41 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 9th percentile – i.e., 9% 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 199,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.