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CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

Overview of attention for article published in Genome Biology (Online Edition), July 2019
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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 (85th percentile)

Mentioned by

news
1 news outlet
twitter
11 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
76 Mendeley
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Title
CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data
Published in
Genome Biology (Online Edition), July 2019
DOI 10.1186/s13059-019-1739-7
Pubmed ID
Authors

Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R. Salick, Joe Raymond, Ajamete Kaykas, Guglielmo Roma, Caroline Gubser Keller

Twitter Demographics

The data shown below were collected from the profiles of 11 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Ph. D. Student 19 25%
Student > Bachelor 9 12%
Student > Master 6 8%
Other 3 4%
Other 5 7%
Unknown 14 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 28%
Computer Science 10 13%
Agricultural and Biological Sciences 9 12%
Neuroscience 7 9%
Medicine and Dentistry 3 4%
Other 9 12%
Unknown 17 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 August 2019.
All research outputs
#1,465,873
of 15,923,939 outputs
Outputs from Genome Biology (Online Edition)
#1,434
of 3,414 outputs
Outputs of similar age
#37,262
of 261,425 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 15,923,939 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 57% 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 261,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them