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IRcall and IRclassifier: two methods for flexible detection of intron retention events from RNA-Seq data

Overview of attention for article published in BMC Genomics, January 2015
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters
weibo
1 weibo user
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
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Title
IRcall and IRclassifier: two methods for flexible detection of intron retention events from RNA-Seq data
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s2-s9
Authors

Yang Bai, Shufan Ji, Yadong Wang

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 37%
Researcher 13 25%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 2 4%
Other 2 4%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 39%
Biochemistry, Genetics and Molecular Biology 17 33%
Computer Science 3 6%
Engineering 2 4%
Mathematics 1 2%
Other 2 4%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 March 2015.
All research outputs
#2,496,155
of 16,638,522 outputs
Outputs from BMC Genomics
#1,063
of 9,107 outputs
Outputs of similar age
#43,442
of 292,660 outputs
Outputs of similar age from BMC Genomics
#13
of 159 outputs
Altmetric has tracked 16,638,522 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,107 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 292,660 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 85% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.