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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 (86th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
32 tweeters
patent
30 patents
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
16861 Dimensions

Readers on

mendeley
12671 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 32 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 12,671 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 94 <1%
United Kingdom 34 <1%
Germany 30 <1%
Brazil 16 <1%
Italy 14 <1%
Spain 12 <1%
Canada 10 <1%
France 9 <1%
Netherlands 8 <1%
Other 89 <1%
Unknown 12355 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3757 30%
Researcher 2400 19%
Student > Master 1671 13%
Student > Bachelor 1037 8%
Student > Doctoral Student 774 6%
Other 1596 13%
Unknown 1436 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4346 34%
Biochemistry, Genetics and Molecular Biology 3519 28%
Medicine and Dentistry 670 5%
Immunology and Microbiology 449 4%
Computer Science 362 3%
Other 1436 11%
Unknown 1889 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 14 July 2020.
All research outputs
#362,667
of 15,816,382 outputs
Outputs from Genome Biology (Online Edition)
#318
of 3,397 outputs
Outputs of similar age
#6,125
of 268,817 outputs
Outputs of similar age from Genome Biology (Online Edition)
#7
of 53 outputs
Altmetric has tracked 15,816,382 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 3,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done particularly well, scoring higher than 90% 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 268,817 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 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.