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Cobolt: integrative analysis of multimodal single-cell sequencing data

Overview of attention for article published in Genome Biology, December 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
57 X users

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Cobolt: integrative analysis of multimodal single-cell sequencing data
Published in
Genome Biology, December 2021
DOI 10.1186/s13059-021-02556-z
Pubmed ID
Authors

Boying Gong, Yun Zhou, Elizabeth Purdom

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 9 17%
Student > Bachelor 3 6%
Other 2 4%
Student > Master 2 4%
Other 5 9%
Unknown 22 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Computer Science 6 11%
Agricultural and Biological Sciences 6 11%
Mathematics 4 7%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 22 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 09 May 2024.
All research outputs
#1,157,630
of 25,874,560 outputs
Outputs from Genome Biology
#840
of 4,528 outputs
Outputs of similar age
#28,486
of 521,886 outputs
Outputs of similar age from Genome Biology
#29
of 91 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,528 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 done well, scoring higher than 81% 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 521,886 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 94% of its contemporaries.
We're also able to compare this research output to 91 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 68% of its contemporaries.