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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Overview of attention for article published in Genome Biology, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
8 news outlets
blogs
8 blogs
twitter
35 X users
patent
198 patents
facebook
2 Facebook pages
wikipedia
8 Wikipedia pages
reddit
1 Redditor
q&a
1 Q&A thread
video
1 YouTube creator

Citations

dimensions_citation
57750 Dimensions

Readers on

mendeley
25492 Mendeley
citeulike
16 CiteULike
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Title
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Published in
Genome Biology, December 2014
DOI 10.1186/s13059-014-0550-8
Pubmed ID
Authors

Michael I Love, Wolfgang Huber, Simon Anders

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 25,492 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 88 <1%
United Kingdom 34 <1%
Germany 27 <1%
Brazil 16 <1%
Italy 12 <1%
Spain 12 <1%
Canada 10 <1%
France 8 <1%
Netherlands 7 <1%
Other 88 <1%
Unknown 25190 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6228 24%
Researcher 3888 15%
Student > Master 2963 12%
Student > Bachelor 2108 8%
Student > Doctoral Student 1392 5%
Other 2837 11%
Unknown 6076 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6894 27%
Agricultural and Biological Sciences 6026 24%
Medicine and Dentistry 1199 5%
Immunology and Microbiology 985 4%
Neuroscience 693 3%
Other 2819 11%
Unknown 6876 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 February 2024.
All research outputs
#271,556
of 25,420,980 outputs
Outputs from Genome Biology
#102
of 4,472 outputs
Outputs of similar age
#2,961
of 367,145 outputs
Outputs of similar age from Genome Biology
#2
of 101 outputs
Altmetric has tracked 25,420,980 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 4,472 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 done particularly well, scoring higher than 97% 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 367,145 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 99% of its contemporaries.
We're also able to compare this research output to 101 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 99% of its contemporaries.