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Fast identification of differential distributions in single-cell RNA-sequencing data with waddR

Overview of attention for article published in Bioinformatics, April 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
2 blogs
twitter
17 X users
bluesky
1 Bluesky user

Readers on

mendeley
41 Mendeley
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Article details
Title
Fast identification of differential distributions in single-cell RNA-sequencing data with waddR
Published in
Bioinformatics, April 2021
DOI 10.1093/bioinformatics/btab226
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 9 22%
Student > Master 4 10%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 3 7%
Unknown 10 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 20%
Biochemistry, Genetics and Molecular Biology 6 15%
Computer Science 6 15%
Chemical Engineering 3 7%
Environmental Science 1 2%
Other 6 15%
Unknown 11 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 22 April 2025.
All research outputs
#2,165,280
of 32,393,211 outputs
Outputs from Bioinformatics
#1,074
of 14,093 outputs
Outputs of similar age
#46,096
of 472,072 outputs
Outputs of similar age from Bioinformatics
#9
of 186 outputs
Altmetric has tracked 32,393,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,093 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 472,072 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 186 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.