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Transcriptional and epigenetic regulation of PPARγ expression during adipogenesis

Overview of attention for article published in Cell & Bioscience, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

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2 tweeters
googleplus
1 Google+ user

Citations

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112 Dimensions

Readers on

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198 Mendeley
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Title
Transcriptional and epigenetic regulation of PPARγ expression during adipogenesis
Published in
Cell & Bioscience, January 2014
DOI 10.1186/2045-3701-4-29
Pubmed ID
Authors

Ji-Eun Lee, Kai Ge

Abstract

The nuclear receptor PPARγ is a master regulator of adipogenesis. PPARγ is highly expressed in adipose tissues and its expression is markedly induced during adipogenesis. In this review, we describe the current knowledge, as well as future directions, on transcriptional and epigenetic regulation of PPARγ expression during adipogenesis. Investigating the molecular mechanisms that control PPARγ expression during adipogenesis is critical for understanding the development of white and brown adipose tissues, as well as pathological conditions such as obesity and diabetes. The robust induction of PPARγ expression during adipogenesis also serves as an excellent model system for studying transcriptional and epigenetic regulation of cell-type-specific gene expression.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Iceland 1 <1%
Japan 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 193 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 29%
Researcher 42 21%
Student > Master 24 12%
Student > Bachelor 23 12%
Student > Doctoral Student 15 8%
Other 17 9%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 37%
Biochemistry, Genetics and Molecular Biology 59 30%
Medicine and Dentistry 19 10%
Immunology and Microbiology 7 4%
Engineering 3 2%
Other 9 5%
Unknown 27 14%

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 09 June 2014.
All research outputs
#6,651,893
of 11,883,277 outputs
Outputs from Cell & Bioscience
#65
of 240 outputs
Outputs of similar age
#78,389
of 190,604 outputs
Outputs of similar age from Cell & Bioscience
#1
of 2 outputs
Altmetric has tracked 11,883,277 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 240 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 70% 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 190,604 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 57% of its contemporaries.
We're also able to compare this research output to 2 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