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CapR: revealing structural specificities of RNA-binding protein target recognition using CLIP-seq data

Overview of attention for article published in Genome Biology, January 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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
1 news outlet
twitter
20 X users
googleplus
2 Google+ users

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
1 CiteULike
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Title
CapR: revealing structural specificities of RNA-binding protein target recognition using CLIP-seq data
Published in
Genome Biology, January 2014
DOI 10.1186/gb-2014-15-1-r16
Pubmed ID
Authors

Tsukasa Fukunaga, Haruka Ozaki, Goro Terai, Kiyoshi Asai, Wataru Iwasaki, Hisanori Kiryu

Abstract

RNA-binding proteins (RBPs) bind to their target RNA molecules by recognizing specific RNA sequences and structural contexts. The development of CLIP-seq and related protocols has made it possible to exhaustively identify RNA fragments that bind to RBPs. However, no efficient bioinformatics method exists to reveal the structural specificities of RBP-RNA interactions using these data. We present CapR, an efficient algorithm that calculates the probability that each RNA base position is located within each secondary structural context. Using CapR, we demonstrate that several RBPs bind to their target RNA molecules under specific structural contexts. CapR is available at https://sites.google.com/site/fukunagatsu/software/capr.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
Sweden 1 <1%
Germany 1 <1%
Austria 1 <1%
China 1 <1%
Unknown 111 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 34%
Researcher 30 25%
Student > Master 14 12%
Student > Bachelor 8 7%
Professor > Associate Professor 5 4%
Other 12 10%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 43%
Biochemistry, Genetics and Molecular Biology 30 25%
Computer Science 17 14%
Chemistry 3 3%
Medicine and Dentistry 2 2%
Other 3 3%
Unknown 13 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 29 March 2016.
All research outputs
#1,726,599
of 25,563,770 outputs
Outputs from Genome Biology
#1,409
of 4,491 outputs
Outputs of similar age
#19,293
of 321,997 outputs
Outputs of similar age from Genome Biology
#44
of 123 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,491 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 68% 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 321,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.