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Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
197 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
264 Mendeley
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Title
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
Published in
Genome Biology (Online Edition), December 2019
DOI 10.1186/s13059-019-1861-6
Pubmed ID
Authors

F. William Townes, Stephanie C. Hicks, Martin J. Aryee, Rafael A. Irizarry

Twitter Demographics

The data shown below were collected from the profiles of 197 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 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 264 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 33%
Researcher 35 13%
Student > Bachelor 28 11%
Student > Doctoral Student 16 6%
Student > Master 16 6%
Other 29 11%
Unknown 54 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 85 32%
Agricultural and Biological Sciences 36 14%
Computer Science 26 10%
Mathematics 14 5%
Engineering 8 3%
Other 30 11%
Unknown 65 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 113. 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 30 November 2021.
All research outputs
#247,724
of 19,527,185 outputs
Outputs from Genome Biology (Online Edition)
#148
of 3,846 outputs
Outputs of similar age
#8,104
of 410,303 outputs
Outputs of similar age from Genome Biology (Online Edition)
#24
of 289 outputs
Altmetric has tracked 19,527,185 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 3,846 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 96% 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 410,303 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 98% of its contemporaries.
We're also able to compare this research output to 289 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 92% of its contemporaries.