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LUMPY: a probabilistic framework for structural variant discovery

Overview of attention for article published in Genome Biology, June 2014
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
45 X users
patent
46 patents
googleplus
1 Google+ user

Readers on

mendeley
1068 Mendeley
citeulike
7 CiteULike
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Title
LUMPY: a probabilistic framework for structural variant discovery
Published in
Genome Biology, June 2014
DOI 10.1186/gb-2014-15-6-r84
Pubmed ID
Authors

Ryan M Layer, Colby Chiang, Aaron R Quinlan, Ira M Hall

Abstract

Comprehensive discovery of structural variation (SV) from whole genome sequencing data requires multiple detection signals including read-pair, split-read, read-depth and prior knowledge. Owing to technical challenges, extant SV discovery algorithms either use one signal in isolation, or at best use two sequentially. We present LUMPY, a novel SV discovery framework that naturally integrates multiple SV signals jointly across multiple samples. We show that LUMPY yields improved sensitivity, especially when SV signal is reduced owing to either low coverage data or low intra-sample variant allele frequency. We also report a set of 4,564 validated breakpoints from the NA12878 human genome. https://github.com/arq5x/lumpy-sv.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 1,068 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 2%
United Kingdom 7 <1%
Germany 4 <1%
France 3 <1%
Brazil 3 <1%
Norway 2 <1%
Denmark 2 <1%
China 2 <1%
New Zealand 2 <1%
Other 14 1%
Unknown 1012 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 267 25%
Researcher 245 23%
Student > Master 105 10%
Student > Bachelor 65 6%
Student > Doctoral Student 49 5%
Other 145 14%
Unknown 192 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 342 32%
Biochemistry, Genetics and Molecular Biology 308 29%
Computer Science 79 7%
Medicine and Dentistry 46 4%
Engineering 17 2%
Other 71 7%
Unknown 205 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 13 February 2024.
All research outputs
#721,749
of 25,706,302 outputs
Outputs from Genome Biology
#460
of 4,504 outputs
Outputs of similar age
#6,602
of 243,420 outputs
Outputs of similar age from Genome Biology
#7
of 56 outputs
Altmetric has tracked 25,706,302 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 4,504 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 done well, scoring higher than 89% 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 243,420 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 97% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.