↓ Skip to main content

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 (Online Edition), December 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps
Published in
Genome Biology (Online Edition), 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

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

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 5 11%
Other 3 7%
Student > Master 3 7%
Other 6 13%
Unknown 10 22%
Readers by discipline Count As %
Computer Science 9 20%
Agricultural and Biological Sciences 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

This research output has an Altmetric Attention Score of 3. 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
#6,516,134
of 12,768,104 outputs
Outputs from Genome Biology (Online Edition)
#2,377
of 2,884 outputs
Outputs of similar age
#142,357
of 387,523 outputs
Outputs of similar age from Genome Biology (Online Edition)
#215
of 240 outputs
Altmetric has tracked 12,768,104 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 16th percentile – i.e., 16% 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 387,523 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 62% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.