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Transposable elements modulate human RNA abundance and splicing via specific RNA-protein interactions

Overview of attention for article published in Genome Biology, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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19 X users

Citations

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83 Dimensions

Readers on

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164 Mendeley
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4 CiteULike
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Title
Transposable elements modulate human RNA abundance and splicing via specific RNA-protein interactions
Published in
Genome Biology, December 2014
DOI 10.1186/s13059-014-0537-5
Pubmed ID
Authors

David R Kelley, David G Hendrickson, Danielle Tenen, John L Rinn

Abstract

Transposable elements (TEs) have significantly influenced the evolution of transcriptional regulatory networks in the human genome. Post-transcriptional regulation of human genes by TE-derived sequences has been observed in specific contexts, but has yet to be systematically and comprehensively investigated. Here, we study a collection of 75 CLIP-Seq experiments mapping the RNA binding sites for a diverse set of 51 human proteins to explore the role of TEs in post-transcriptional regulation of human mRNAs and lncRNAs via RNA-protein interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 2 1%
Sweden 2 1%
Netherlands 1 <1%
France 1 <1%
Germany 1 <1%
Brazil 1 <1%
Italy 1 <1%
China 1 <1%
Other 3 2%
Unknown 146 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 24%
Student > Ph. D. Student 39 24%
Student > Master 18 11%
Professor > Associate Professor 11 7%
Student > Bachelor 9 5%
Other 24 15%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 43%
Biochemistry, Genetics and Molecular Biology 48 29%
Computer Science 10 6%
Medicine and Dentistry 5 3%
Neuroscience 4 2%
Other 5 3%
Unknown 22 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 February 2015.
All research outputs
#3,307,223
of 25,373,627 outputs
Outputs from Genome Biology
#2,377
of 4,467 outputs
Outputs of similar age
#44,279
of 368,282 outputs
Outputs of similar age from Genome Biology
#57
of 101 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 46th percentile – i.e., 46% 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 368,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.