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CRAC: an integrated approach to the analysis of RNA-seq reads

Overview of attention for article published in Genome Biology, March 2013
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
243 Mendeley
citeulike
10 CiteULike
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Title
CRAC: an integrated approach to the analysis of RNA-seq reads
Published in
Genome Biology, March 2013
DOI 10.1186/gb-2013-14-3-r30
Pubmed ID
Authors

Nicolas Philippe, Mikaël Salson, Thérèse Commes, Eric Rivals

Abstract

A large number of RNA-sequencing studies set out to predict mutations, splice junctions or fusion RNAs. We propose a method, CRAC, that integrates genomic locations and local coverage to enable such predictions to be made directly from RNA-seq read analysis. A k-mer profiling approach detects candidate mutations, indels and splice or chimeric junctions in each single read. CRAC increases precision compared with existing tools, reaching 99:5% for splice junctions, without losing sensitivity. Importantly, CRAC predictions improve with read length. In cancer libraries, CRAC recovered 74% of validated fusion RNAs and predicted novel recurrent chimeric junctions. CRAC is available at http://crac.gforge.inria.fr.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
France 7 3%
Germany 4 2%
United Kingdom 4 2%
Norway 2 <1%
Korea, Republic of 2 <1%
Brazil 1 <1%
Slovenia 1 <1%
Philippines 1 <1%
Other 0 0%
Unknown 213 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 30%
Student > Ph. D. Student 59 24%
Student > Master 32 13%
Other 17 7%
Professor > Associate Professor 9 4%
Other 32 13%
Unknown 21 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 126 52%
Biochemistry, Genetics and Molecular Biology 43 18%
Computer Science 25 10%
Engineering 7 3%
Medicine and Dentistry 6 2%
Other 9 4%
Unknown 27 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 31 May 2017.
All research outputs
#2,567,662
of 25,373,627 outputs
Outputs from Genome Biology
#2,059
of 4,467 outputs
Outputs of similar age
#20,862
of 210,247 outputs
Outputs of similar age from Genome Biology
#23
of 43 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 89th 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 has gotten more attention than average, scoring higher than 53% 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 210,247 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 90% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.