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scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution

Overview of attention for article published in Genome Biology (Online Edition), April 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 (92nd percentile)

Mentioned by

twitter
65 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
61 Mendeley
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Title
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
Published in
Genome Biology (Online Edition), April 2021
DOI 10.1186/s13059-021-02329-8
Pubmed ID
Authors

Chantriolnt-Andreas Kapourani, Ricard Argelaguet, Guido Sanguinetti, Catalina A. Vallejos

Twitter Demographics

The data shown below were collected from the profiles of 65 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 10 16%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 4 7%
Other 6 10%
Unknown 16 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 26%
Agricultural and Biological Sciences 9 15%
Computer Science 8 13%
Engineering 3 5%
Immunology and Microbiology 2 3%
Other 5 8%
Unknown 18 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 10 March 2022.
All research outputs
#1,018,994
of 21,364,317 outputs
Outputs from Genome Biology (Online Edition)
#884
of 3,997 outputs
Outputs of similar age
#26,598
of 333,183 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,364,317 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 3,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one has done well, scoring higher than 77% 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 333,183 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them