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featureCounts: an efficient general purpose program for assigning sequence reads to genomic features

Overview of attention for article published in Bioinformatics, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 13,075)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
blogs
5 blogs
policy
1 policy source
twitter
40 X users
patent
95 patents
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
18333 Dimensions

Readers on

mendeley
7681 Mendeley
citeulike
14 CiteULike
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Title
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Published in
Bioinformatics, November 2013
DOI 10.1093/bioinformatics/btt656
Pubmed ID
Authors

Yang Liao, Gordon K. Smyth, Wei Shi

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 40 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7,681 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 <1%
United Kingdom 12 <1%
Germany 9 <1%
Australia 5 <1%
Sweden 5 <1%
Denmark 5 <1%
France 3 <1%
Austria 3 <1%
Canada 3 <1%
Other 19 <1%
Unknown 7597 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1817 24%
Researcher 1150 15%
Student > Master 822 11%
Student > Bachelor 638 8%
Student > Doctoral Student 395 5%
Other 902 12%
Unknown 1957 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2231 29%
Agricultural and Biological Sciences 1700 22%
Medicine and Dentistry 320 4%
Immunology and Microbiology 264 3%
Neuroscience 212 3%
Other 784 10%
Unknown 2170 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 06 September 2024.
All research outputs
#455,548
of 26,388,722 outputs
Outputs from Bioinformatics
#50
of 13,075 outputs
Outputs of similar age
#3,480
of 226,659 outputs
Outputs of similar age from Bioinformatics
#2
of 185 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,075 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 99% 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 226,659 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 98% of its contemporaries.
We're also able to compare this research output to 185 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 98% of its contemporaries.