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Joint probabilistic modeling of single-cell multi-omic data with totalVI

Overview of attention for article published in Nature Methods, February 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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
110 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
45 Mendeley
Title
Joint probabilistic modeling of single-cell multi-omic data with totalVI
Published in
Nature Methods, February 2021
DOI 10.1038/s41592-020-01050-x
Pubmed ID
Authors

Adam Gayoso, Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L. Nazor, Aaron Streets, Nir Yosef

Twitter Demographics

The data shown below were collected from the profiles of 110 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 31%
Researcher 9 20%
Unspecified 6 13%
Student > Bachelor 3 7%
Other 2 4%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 31%
Computer Science 8 18%
Biochemistry, Genetics and Molecular Biology 7 16%
Unspecified 4 9%
Immunology and Microbiology 4 9%
Other 3 7%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 01 March 2021.
All research outputs
#411,342
of 17,131,911 outputs
Outputs from Nature Methods
#588
of 4,286 outputs
Outputs of similar age
#9,445
of 247,795 outputs
Outputs of similar age from Nature Methods
#22
of 71 outputs
Altmetric has tracked 17,131,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,286 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. This one has done well, scoring higher than 86% 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 247,795 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 96% of its contemporaries.
We're also able to compare this research output to 71 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 69% of its contemporaries.