↓ Skip to main content

Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data

Overview of attention for article published in BMC Bioinformatics, April 2013
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
2 patents

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
2 CiteULike
Title
Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data
Published in
BMC Bioinformatics, April 2013
DOI 10.1186/1471-2105-14-s5-s6
Pubmed ID
Authors

Matthew Hayes, Jing Li

Abstract

Somatically-acquired translocations may serve as important markers for assessing the cause and nature of diseases like cancer. Algorithms to locate translocations may use next-generation sequencing (NGS) platform data. However, paired-end strategies do not accurately predict precise translocation breakpoints, and "split-read" methods may lose sensitivity if a translocation boundary is not captured by many sequenced reads. To address these challenges, we have developed "Bellerophon", a method that uses discordant read pairs to identify potential translocations, and subsequently uses "soft-clipped" reads to predict the location of the precise breakpoints. Furthermore, for each chimeric breakpoint, our method attempts to classify it as a participant in an unbalanced translocation, balanced translocation, or interchromosomal insertion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United States 2 3%
United Kingdom 2 3%
Germany 1 2%
Netherlands 1 2%
Mexico 1 2%
Iran, Islamic Republic of 1 2%
Unknown 55 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 31%
Researcher 17 26%
Professor 4 6%
Other 4 6%
Professor > Associate Professor 4 6%
Other 8 12%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 43%
Biochemistry, Genetics and Molecular Biology 10 15%
Computer Science 9 14%
Medicine and Dentistry 3 5%
Engineering 2 3%
Other 3 5%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 04 December 2019.
All research outputs
#1,689,375
of 22,708,120 outputs
Outputs from BMC Bioinformatics
#383
of 7,256 outputs
Outputs of similar age
#14,685
of 199,476 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 135 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 199,476 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 92% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.