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OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps

Overview of attention for article published in Genome Biology, December 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

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6 tweeters

Citations

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29 Dimensions

Readers on

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45 Mendeley
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1 CiteULike
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Title
OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps
Published in
Genome Biology, December 2017
DOI 10.1186/s13059-017-1356-2
Pubmed ID
Authors

Le Li, Alden King-Yung Leung, Tsz-Piu Kwok, Yvonne Y. Y. Lai, Iris K. Pang, Grace Tin-Yun Chung, Angel C. Y. Mak, Annie Poon, Catherine Chu, Menglu Li, Jacob J. K. Wu, Ernest T. Lam, Han Cao, Chin Lin, Justin Sibert, Siu-Ming Yiu, Ming Xiao, Kwok-Wai Lo, Pui-Yan Kwok, Ting-Fung Chan, Kevin Y. Yip

Abstract

We present a new method, OMSV, for accurately and comprehensively identifying structural variations (SVs) from optical maps. OMSV detects both homozygous and heterozygous SVs, SVs of various types and sizes, and SVs with or without creating or destroying restriction sites. We show that OMSV has high sensitivity and specificity, with clear performance gains over the latest method. Applying OMSV to a human cell line, we identified hundreds of SVs >2 kbp, with 68 % of them missed by sequencing-based callers. Independent experimental validation confirmed the high accuracy of these SVs. The OMSV software is available at http://yiplab.cse.cuhk.edu.hk/omsv/ .

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Researcher 5 11%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 3 7%
Other 6 13%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Computer Science 8 18%
Biochemistry, Genetics and Molecular Biology 7 16%
Mathematics 2 4%
Engineering 2 4%
Other 6 13%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 April 2018.
All research outputs
#7,831,871
of 24,286,850 outputs
Outputs from Genome Biology
#3,312
of 4,310 outputs
Outputs of similar age
#148,288
of 446,115 outputs
Outputs of similar age from Genome Biology
#51
of 57 outputs
Altmetric has tracked 24,286,850 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one is in the 22nd percentile – i.e., 22% 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 446,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.