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Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Overview of attention for article published in Genome Biology (Online Edition), December 2019
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
105 tweeters

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
665 Mendeley
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Title
Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression
Published in
Genome Biology (Online Edition), December 2019
DOI 10.1186/s13059-019-1874-1
Pubmed ID
Authors

Christoph Hafemeister, Rahul Satija

Twitter Demographics

The data shown below were collected from the profiles of 105 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 665 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 665 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 184 28%
Researcher 123 18%
Student > Master 77 12%
Student > Bachelor 76 11%
Student > Doctoral Student 35 5%
Other 58 9%
Unknown 112 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 217 33%
Agricultural and Biological Sciences 134 20%
Neuroscience 38 6%
Computer Science 32 5%
Immunology and Microbiology 31 5%
Other 86 13%
Unknown 127 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 18 July 2020.
All research outputs
#335,575
of 15,520,996 outputs
Outputs from Genome Biology (Online Edition)
#297
of 3,338 outputs
Outputs of similar age
#12,562
of 347,403 outputs
Outputs of similar age from Genome Biology (Online Edition)
#56
of 290 outputs
Altmetric has tracked 15,520,996 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 3,338 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. 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 347,403 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 96% of its contemporaries.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.