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MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data

Overview of attention for article published in Genome Biology, August 2021
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
39 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
63 Mendeley
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Title
MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data
Published in
Genome Biology, August 2021
DOI 10.1186/s13059-021-02445-5
Pubmed ID
Authors

Siyao Liu, Aatish Thennavan, Joseph P. Garay, J. S. Marron, Charles M. Perou

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 10 16%
Researcher 7 11%
Student > Postgraduate 6 10%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 15 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 32%
Computer Science 8 13%
Neuroscience 7 11%
Agricultural and Biological Sciences 5 8%
Unspecified 1 2%
Other 3 5%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 08 October 2021.
All research outputs
#1,931,436
of 25,392,582 outputs
Outputs from Genome Biology
#1,615
of 4,470 outputs
Outputs of similar age
#45,221
of 436,363 outputs
Outputs of similar age from Genome Biology
#39
of 81 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 63% 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 436,363 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 89% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.