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scSNV: accurate dscRNA-seq SNV co-expression analysis using duplicate tag collapsing

Overview of attention for article published in Genome Biology, May 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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
26 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
28 Mendeley
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Title
scSNV: accurate dscRNA-seq SNV co-expression analysis using duplicate tag collapsing
Published in
Genome Biology, May 2021
DOI 10.1186/s13059-021-02364-5
Pubmed ID
Authors

Gavin W. Wilson, Mathieu Derouet, Gail E. Darling, Jonathan C. Yeung

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 5 18%
Student > Bachelor 2 7%
Professor 2 7%
Student > Master 1 4%
Other 3 11%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 29%
Computer Science 3 11%
Agricultural and Biological Sciences 3 11%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 17 December 2022.
All research outputs
#1,865,771
of 25,387,668 outputs
Outputs from Genome Biology
#1,556
of 4,470 outputs
Outputs of similar age
#48,433
of 453,974 outputs
Outputs of similar age from Genome Biology
#49
of 94 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 65% 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 453,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.