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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 (Online Edition), 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
34 tweeters
patent
86 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
30328 Dimensions

Readers on

mendeley
17458 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 (Online Edition), December 2014
DOI 10.1186/s13059-014-0550-8
Pubmed ID
Authors

Michael I Love, Wolfgang Huber, Simon Anders

Twitter Demographics

The data shown below were collected from the profiles of 34 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 17,458 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 72 <1%
United Kingdom 29 <1%
Germany 22 <1%
Brazil 15 <1%
Italy 12 <1%
Spain 10 <1%
Canada 9 <1%
France 8 <1%
Netherlands 7 <1%
Other 79 <1%
Unknown 17195 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4792 27%
Researcher 2987 17%
Student > Master 2246 13%
Student > Bachelor 1512 9%
Student > Doctoral Student 1063 6%
Other 2054 12%
Unknown 2804 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5044 29%
Agricultural and Biological Sciences 4975 28%
Medicine and Dentistry 886 5%
Immunology and Microbiology 691 4%
Neuroscience 495 3%
Other 1943 11%
Unknown 3424 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 December 2021.
All research outputs
#431,827
of 19,985,377 outputs
Outputs from Genome Biology (Online Edition)
#329
of 3,893 outputs
Outputs of similar age
#5,921
of 295,071 outputs
Outputs of similar age from Genome Biology (Online Edition)
#4
of 50 outputs
Altmetric has tracked 19,985,377 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 91% 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 295,071 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 97% of its contemporaries.
We're also able to compare this research output to 50 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 94% of its contemporaries.