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Multiple signal pathways in obesity‐associated cancer

Overview of attention for article published in Obesity Reviews, August 2011
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 policy source
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2 X users

Citations

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128 Dimensions

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92 Mendeley
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1 CiteULike
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Title
Multiple signal pathways in obesity‐associated cancer
Published in
Obesity Reviews, August 2011
DOI 10.1111/j.1467-789x.2011.00917.x
Pubmed ID
Authors

J Chen

Abstract

Obesity is increasing worldwide and reaches to a large proportion of the population in developed countries. Thus, obesity-associated cancer has become a major health problem. Multiple cancer risk factors in obesity have been identified including insulin/insulin-like growth factor axis, adipokines and cytokines; and multiple intracellular signal pathways have been studied. However, the role of each signal pathway in obesity-associated cancer is controversial. In this review, the recent studies on signal pathways in obesity-associated cancer are summarized and a unified explanation is provided. Multiple risk factors could initially activate phosphoinositide 3-kinase (PI3K/Akt), mitogen-activated protein kinase (MAPK) and signal transducer and activator of transcription 3 (STAT3) pathways. With increased severity of obesity, mammalian target of rapamycin (mTOR), which is down-stream of both PI3K/Akt and MAPK, is highly activated. Activated mTOR in turn inhibits the PI3K/Akt pathway and further activates the STAT3 pathway. This may explain the activation of the PI3K/Akt pathway at the early stage of obesity and its inhibition at the later stage. mTOR inhibition may be used for cancer therapy, but it may be necessary to be combined with the PI3K/Akt inhibitor as decreased mTOR activity will release its feedback inhibition on the PI3K/Akt pathway, which is under the influence of multiple cancer risk factors in obesity. Thus, dual inhibitors of PI3K and mTOR may provide a novel approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 20%
Student > Ph. D. Student 14 15%
Student > Bachelor 11 12%
Researcher 11 12%
Student > Doctoral Student 8 9%
Other 15 16%
Unknown 15 16%
Readers by discipline Count As %
Medicine and Dentistry 27 29%
Agricultural and Biological Sciences 19 21%
Biochemistry, Genetics and Molecular Biology 11 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Immunology and Microbiology 2 2%
Other 11 12%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 January 2012.
All research outputs
#7,047,316
of 25,374,647 outputs
Outputs from Obesity Reviews
#1,373
of 2,092 outputs
Outputs of similar age
#38,647
of 134,360 outputs
Outputs of similar age from Obesity Reviews
#17
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,092 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one is in the 33rd percentile – i.e., 33% 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 134,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.