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Global and unbiased detection of splice junctions from RNA-seq data

Overview of attention for article published in Genome Biology (Online Edition), January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
215 Mendeley
citeulike
23 CiteULike
connotea
5 Connotea
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Title
Global and unbiased detection of splice junctions from RNA-seq data
Published in
Genome Biology (Online Edition), January 2010
DOI 10.1186/gb-2010-11-3-r34
Pubmed ID
Authors

Adam Ameur, Anna Wetterbom, Lars Feuk, Ulf Gyllensten

Abstract

We have developed a new strategy for de novo prediction of splice junctions in short-read RNA-seq data, suitable for detection of novel splicing events and chimeric transcripts. When tested on mouse RNA-seq data, >31,000 splice events were predicted, of which 88% bridged between two regions separated by <or=100 kb, and 74% connected two exons of the same RefSeq gene. Our method also reports genomic rearrangements such as insertions and deletions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
United Kingdom 4 2%
Brazil 4 2%
Australia 3 1%
Sweden 2 <1%
France 2 <1%
Netherlands 2 <1%
Norway 1 <1%
Germany 1 <1%
Other 8 4%
Unknown 177 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 81 38%
Student > Ph. D. Student 58 27%
Student > Master 14 7%
Professor > Associate Professor 13 6%
Professor 10 5%
Other 30 14%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 148 69%
Biochemistry, Genetics and Molecular Biology 18 8%
Computer Science 18 8%
Medicine and Dentistry 10 5%
Engineering 3 1%
Other 6 3%
Unknown 12 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 March 2014.
All research outputs
#1,147,714
of 6,231,511 outputs
Outputs from Genome Biology (Online Edition)
#1,269
of 2,077 outputs
Outputs of similar age
#13,634
of 64,616 outputs
Outputs of similar age from Genome Biology (Online Edition)
#29
of 52 outputs
Altmetric has tracked 6,231,511 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,077 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one is in the 38th percentile – i.e., 38% 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 64,616 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 78% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.