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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, 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
105 X users
patent
2 patents
video
1 YouTube creator

Citations

dimensions_citation
2693 Dimensions

Readers on

mendeley
2084 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, December 2019
DOI 10.1186/s13059-019-1874-1
Pubmed ID
Authors

Christoph Hafemeister, Rahul Satija

X Demographics

X Demographics

The data shown below were collected from the profiles of 105 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 2,084 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2084 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 487 23%
Researcher 312 15%
Student > Master 205 10%
Student > Bachelor 198 10%
Student > Doctoral Student 94 5%
Other 195 9%
Unknown 593 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 597 29%
Agricultural and Biological Sciences 245 12%
Immunology and Microbiology 122 6%
Medicine and Dentistry 113 5%
Neuroscience 108 5%
Other 261 13%
Unknown 638 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 106. 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 10 April 2024.
All research outputs
#404,484
of 25,706,302 outputs
Outputs from Genome Biology
#208
of 4,504 outputs
Outputs of similar age
#9,803
of 480,793 outputs
Outputs of similar age from Genome Biology
#12
of 92 outputs
Altmetric has tracked 25,706,302 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 4,504 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 95% 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 480,793 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 92 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.