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SOM-based embedding improves efficiency of high-dimensional cytometry data analysis

Overview of attention for article published in bioRxiv
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
38 tweeters
video
1 video uploader

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
Title
SOM-based embedding improves efficiency of high-dimensional cytometry data analysis
Published in
bioRxiv
DOI 10.1101/496869
Authors

Kratochvíl, Miroslav, Koladiya, Abhishek, Balounova, Jana, Novosadova, Vendula, Sedlacek, Radislav, Fišer, Karel, Vondrášek, Jiří, Drbal, Karel

Twitter Demographics

The data shown below were collected from the profiles of 38 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Other 3 23%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 3 23%
Medicine and Dentistry 2 15%
Physics and Astronomy 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 2020.
All research outputs
#841,966
of 15,038,142 outputs
Outputs from bioRxiv
#10,476
of 81,738 outputs
Outputs of similar age
#34,524
of 379,340 outputs
Outputs of similar age from bioRxiv
#714
of 5,756 outputs
Altmetric has tracked 15,038,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 81,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 87% 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 379,340 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 90% of its contemporaries.
We're also able to compare this research output to 5,756 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.