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A Novel Network Integrating a miRNA-203/SNAI1 Feedback Loop which Regulates Epithelial to Mesenchymal Transition

Overview of attention for article published in PLOS ONE, April 2012
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Title
A Novel Network Integrating a miRNA-203/SNAI1 Feedback Loop which Regulates Epithelial to Mesenchymal Transition
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035440
Pubmed ID
Authors

Michèle Moes, Antony Le Béchec, Isaac Crespo, Christina Laurini, Aliaksandr Halavatyi, Guillaume Vetter, Antonio del Sol, Evelyne Friederich

Abstract

The majority of human cancer deaths are caused by metastasis. The metastatic dissemination is initiated by the breakdown of epithelial cell homeostasis. During this phenomenon, referred to as epithelial to mesenchymal transition (EMT), cells change their genetic and trancriptomic program leading to phenotypic and functional alterations. The challenge of understanding this dynamic process resides in unraveling regulatory networks involving master transcription factors (e.g. SNAI1/2, ZEB1/2 and TWIST1) and microRNAs. Here we investigated microRNAs regulated by SNAI1 and their potential role in the regulatory networks underlying epithelial plasticity.

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

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Italy 1 <1%
Bangladesh 1 <1%
France 1 <1%
Luxembourg 1 <1%
Unknown 141 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 26%
Student > Ph. D. Student 33 22%
Student > Master 25 17%
Student > Bachelor 16 11%
Professor > Associate Professor 10 7%
Other 17 11%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 47%
Biochemistry, Genetics and Molecular Biology 30 20%
Medicine and Dentistry 17 11%
Engineering 9 6%
Computer Science 3 2%
Other 5 3%
Unknown 15 10%
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 April 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from PLOS ONE
#153,773
of 193,509 outputs
Outputs of similar age
#124,280
of 161,293 outputs
Outputs of similar age from PLOS ONE
#2,825
of 3,658 outputs
Altmetric has tracked 22,664,644 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 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 161,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,658 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.