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Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes

Overview of attention for article published in Nature Methods, May 2020
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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 (89th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
101 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
249 Dimensions

Readers on

mendeley
336 Mendeley
Title
Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes
Published in
Nature Methods, May 2020
DOI 10.1038/s41592-020-0820-1
Pubmed ID
Authors

Haynes Heaton, Arthur M. Talman, Andrew Knights, Maria Imaz, Daniel J. Gaffney, Richard Durbin, Martin Hemberg, Mara K. N. Lawniczak

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 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 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 336 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 25%
Student > Ph. D. Student 73 22%
Student > Bachelor 26 8%
Student > Master 18 5%
Other 11 3%
Other 42 13%
Unknown 81 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 93 28%
Agricultural and Biological Sciences 42 13%
Immunology and Microbiology 31 9%
Computer Science 19 6%
Medicine and Dentistry 16 5%
Other 48 14%
Unknown 87 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 28 July 2022.
All research outputs
#371,281
of 25,506,250 outputs
Outputs from Nature Methods
#427
of 5,375 outputs
Outputs of similar age
#12,064
of 413,714 outputs
Outputs of similar age from Nature Methods
#8
of 64 outputs
Altmetric has tracked 25,506,250 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 5,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.5. This one has done particularly well, scoring higher than 92% 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 413,714 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 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.