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Beyond comparisons of means: understanding changes in gene expression at the single-cell level

Overview of attention for article published in Genome Biology, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
2 blogs
twitter
27 X users

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
330 Mendeley
citeulike
6 CiteULike
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Title
Beyond comparisons of means: understanding changes in gene expression at the single-cell level
Published in
Genome Biology, April 2016
DOI 10.1186/s13059-016-0930-3
Pubmed ID
Authors

Catalina A. Vallejos, Sylvia Richardson, John C. Marioni

Abstract

Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by single-cell level data sets. We present a Bayesian hierarchical model that builds upon BASiCS to study changes that lie beyond comparisons of means, incorporating built-in normalization and quantifying technical artifacts by borrowing information from spike-in genes. Using a probabilistic approach, we highlight genes undergoing changes in cell-to-cell heterogeneity but whose overall expression remains unchanged. Control experiments validate our method's performance and a case study suggests that novel biological insights can be revealed. Our method is implemented in R and available at https://github.com/catavallejos/BASiCS .

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 5 2%
Spain 2 <1%
Sweden 1 <1%
Canada 1 <1%
Germany 1 <1%
Denmark 1 <1%
Ghana 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 308 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 27%
Researcher 80 24%
Student > Master 29 9%
Student > Bachelor 26 8%
Student > Postgraduate 20 6%
Other 49 15%
Unknown 38 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 33%
Biochemistry, Genetics and Molecular Biology 90 27%
Computer Science 28 8%
Mathematics 12 4%
Medicine and Dentistry 8 2%
Other 34 10%
Unknown 48 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 09 November 2018.
All research outputs
#1,479,260
of 25,373,627 outputs
Outputs from Genome Biology
#1,181
of 4,467 outputs
Outputs of similar age
#24,676
of 313,910 outputs
Outputs of similar age from Genome Biology
#25
of 77 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 gotten more attention than average, scoring higher than 73% 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 313,910 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 92% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.