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ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data

Overview of attention for article published in Genome Biology, March 2017
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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)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
1 CiteULike
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Title
ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data
Published in
Genome Biology, March 2017
DOI 10.1186/s13059-017-1169-3
Pubmed ID
Authors

Sohrab Salehi, Adi Steif, Andrew Roth, Samuel Aparicio, Alexandre Bouchard-Côté, Sohrab P. Shah

Abstract

Next-generation sequencing (NGS) of bulk tumour tissue can identify constituent cell populations in cancers and measure their abundance. This requires computational deconvolution of allelic counts from somatic mutations, which may be incapable of fully resolving the underlying population structure. Single cell sequencing (SCS) is a more direct method, although its replacement of NGS is impeded by technical noise and sampling limitations. We propose ddClone, which analytically integrates NGS and SCS data, leveraging their complementary attributes through joint statistical inference. We show on real and simulated datasets that ddClone produces more accurate results than can be achieved by either method alone.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 110 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Researcher 23 21%
Student > Bachelor 12 11%
Student > Master 10 9%
Student > Doctoral Student 7 6%
Other 17 15%
Unknown 17 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 23%
Agricultural and Biological Sciences 22 20%
Computer Science 18 16%
Engineering 7 6%
Medicine and Dentistry 7 6%
Other 11 10%
Unknown 21 19%
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 22 January 2021.
All research outputs
#1,833,436
of 25,382,440 outputs
Outputs from Genome Biology
#1,521
of 4,468 outputs
Outputs of similar age
#35,129
of 324,443 outputs
Outputs of similar age from Genome Biology
#30
of 67 outputs
Altmetric has tracked 25,382,440 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 4,468 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 324,443 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 67 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 55% of its contemporaries.