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TET enzymes: double agents in the transposable element–host genome conflict

Overview of attention for article published in Genome Biology, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

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9 X users

Citations

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6 Dimensions

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39 Mendeley
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Title
TET enzymes: double agents in the transposable element–host genome conflict
Published in
Genome Biology, December 2016
DOI 10.1186/s13059-016-1124-8
Pubmed ID
Authors

Patricia Gerdes, Sandra R. Richardson, Geoffrey J. Faulkner

Abstract

The mouse genome is replete with retrotransposon sequences, from evolutionarily young elements with mutagenic potential that must be controlled, to inactive molecular fossils whose sequences can be domesticated over evolutionary time to benefit the host genome. In an exciting new study, de la Rica and colleagues have uncovered a complex relationship between ten-eleven translocation (TET) proteins and retrotransposons in mouse embryonic stem cells (ESCs), implicating TETs as enhancers in the exaptation and function of retroelement sequences. Furthermore, they have demonstrated that active demethylation of retrotransposons does not correlate with their increased expression in ESCs, calling into question long-held assumptions regarding the importance of DNA demethylation for retrotransposon expression, and revealing novel epigenetic players in retrotransposon control.Please see related Research article: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1096-8.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 31%
Student > Master 5 13%
Professor > Associate Professor 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 4 10%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 36%
Biochemistry, Genetics and Molecular Biology 12 31%
Medicine and Dentistry 3 8%
Computer Science 1 3%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 June 2017.
All research outputs
#6,332,855
of 25,373,627 outputs
Outputs from Genome Biology
#3,037
of 4,467 outputs
Outputs of similar age
#106,164
of 422,898 outputs
Outputs of similar age from Genome Biology
#50
of 66 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 31st percentile – i.e., 31% 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 422,898 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 74% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.