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cnvHiTSeq: integrative models for high-resolution copy number variation detection and genotyping using population sequencing data

Overview of attention for article published in Genome Biology, December 2012
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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13 X users

Citations

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27 Dimensions

Readers on

mendeley
81 Mendeley
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3 CiteULike
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Title
cnvHiTSeq: integrative models for high-resolution copy number variation detection and genotyping using population sequencing data
Published in
Genome Biology, December 2012
DOI 10.1186/gb-2012-13-12-r120
Pubmed ID
Authors

Evangelos Bellos, Michael R Johnson, Lachlan J M Coin

Abstract

Recent advances in sequencing technologies provide the means for identifying copy number variation (CNV) at an unprecedented resolution. A single next-generation sequencing experiment offers several features that can be used to detect CNV, yet current methods do not incorporate all available signatures into a unified model. cnvHiTSeq is an integrative probabilistic method for CNV discovery and genotyping that jointly analyzes multiple features at the population level. By combining evidence from complementary sources, cnvHiTSeq achieves high genotyping accuracy and a substantial improvement in CNV detection sensitivity over existing methods, while maintaining a low false discovery rate. cnvHiTSeq is available at http://sourceforge.net/projects/cnvhitseq.

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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
United Kingdom 2 2%
Hong Kong 1 1%
Brazil 1 1%
Unknown 72 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Researcher 18 22%
Other 9 11%
Student > Master 9 11%
Student > Doctoral Student 5 6%
Other 10 12%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 49%
Computer Science 14 17%
Biochemistry, Genetics and Molecular Biology 13 16%
Medicine and Dentistry 3 4%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 April 2013.
All research outputs
#4,652,510
of 25,374,917 outputs
Outputs from Genome Biology
#2,744
of 4,467 outputs
Outputs of similar age
#45,305
of 288,988 outputs
Outputs of similar age from Genome Biology
#28
of 50 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 288,988 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 84% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.