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Inference of single-cell phylogenies from lineage tracing data using Cassiopeia

Overview of attention for article published in Genome Biology (Online Edition), April 2020
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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

news
1 news outlet
blogs
1 blog
twitter
39 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
80 Mendeley
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Title
Inference of single-cell phylogenies from lineage tracing data using Cassiopeia
Published in
Genome Biology (Online Edition), April 2020
DOI 10.1186/s13059-020-02000-8
Pubmed ID
Authors

Matthew G Jones, Alex Khodaverdian, Jeffrey J Quinn, Michelle M Chan, Jeffrey A Hussmann, Robert Wang, Chenling Xu, Jonathan S Weissman, Nir Yosef

Twitter Demographics

The data shown below were collected from the profiles of 39 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 11 14%
Student > Master 8 10%
Student > Bachelor 7 9%
Professor 4 5%
Other 9 11%
Unknown 24 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 33%
Agricultural and Biological Sciences 18 23%
Computer Science 5 6%
Medicine and Dentistry 4 5%
Immunology and Microbiology 1 1%
Other 2 3%
Unknown 24 30%

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 18 November 2020.
All research outputs
#781,097
of 19,441,086 outputs
Outputs from Genome Biology (Online Edition)
#667
of 3,839 outputs
Outputs of similar age
#21,767
of 288,273 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,441,086 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 3,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done well, scoring higher than 82% 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 288,273 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