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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, 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
11 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
80 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, 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Researcher 19 24%
Student > Bachelor 10 13%
Student > Master 7 9%
Other 4 5%
Other 6 8%
Unknown 14 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 29%
Computer Science 10 13%
Agricultural and Biological Sciences 10 13%
Neuroscience 7 9%
Medicine and Dentistry 3 4%
Other 10 13%
Unknown 17 21%
Attention Score in Context

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
#2,602,069
of 25,385,509 outputs
Outputs from Genome Biology
#2,080
of 4,470 outputs
Outputs of similar age
#51,306
of 343,602 outputs
Outputs of similar age from Genome Biology
#49
of 70 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 53% 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 343,602 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 70 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.