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CNV-TV: A robust method to discover copy number variation from short sequencing reads

Overview of attention for article published in BMC Bioinformatics, May 2013
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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)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 X users
patent
3 patents
peer_reviews
1 peer review site

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
2 CiteULike
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Title
CNV-TV: A robust method to discover copy number variation from short sequencing reads
Published in
BMC Bioinformatics, May 2013
DOI 10.1186/1471-2105-14-150
Pubmed ID
Authors

Junbo Duan, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang

Abstract

Copy number variation (CNV) is an important structural variation (SV) in human genome. Various studies have shown that CNVs are associated with complex diseases. Traditional CNV detection methods such as fluorescence in situ hybridization (FISH) and array comparative genomic hybridization (aCGH) suffer from low resolution. The next generation sequencing (NGS) technique promises a higher resolution detection of CNVs and several methods were recently proposed for realizing such a promise. However, the performances of these methods are not robust under some conditions, e.g., some of them may fail to detect CNVs of short sizes. There has been a strong demand for reliable detection of CNVs from high resolution NGS data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
France 2 3%
Uruguay 1 1%
Germany 1 1%
Sweden 1 1%
Brazil 1 1%
Japan 1 1%
Belgium 1 1%
Unknown 63 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 31%
Student > Ph. D. Student 15 20%
Student > Master 7 9%
Other 6 8%
Student > Doctoral Student 4 5%
Other 7 9%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 45%
Biochemistry, Genetics and Molecular Biology 15 20%
Computer Science 5 7%
Physics and Astronomy 2 3%
Medicine and Dentistry 2 3%
Other 5 7%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 30 April 2019.
All research outputs
#2,352,480
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#631
of 7,454 outputs
Outputs of similar age
#19,930
of 194,590 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 124 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 194,590 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 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.