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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
193 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
257 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 193 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 33%
Researcher 34 13%
Student > Bachelor 27 11%
Student > Doctoral Student 16 6%
Student > Master 14 5%
Other 30 12%
Unknown 51 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 85 33%
Agricultural and Biological Sciences 35 14%
Computer Science 24 9%
Mathematics 13 5%
Engineering 8 3%
Other 29 11%
Unknown 63 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 February 2021.
All research outputs
#249,918
of 19,151,080 outputs
Outputs from Genome Biology (Online Edition)
#162
of 3,802 outputs
Outputs of similar age
#8,327
of 406,868 outputs
Outputs of similar age from Genome Biology (Online Edition)
#27
of 289 outputs
Altmetric has tracked 19,151,080 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 3,802 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 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 406,868 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 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 91% of its contemporaries.