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Mobster: accurate detection of mobile element insertions in next generation sequencing data

Overview of attention for article published in Genome Biology, October 2014
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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9 X users
googleplus
1 Google+ user

Citations

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86 Dimensions

Readers on

mendeley
171 Mendeley
citeulike
5 CiteULike
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Title
Mobster: accurate detection of mobile element insertions in next generation sequencing data
Published in
Genome Biology, October 2014
DOI 10.1186/s13059-014-0488-x
Pubmed ID
Authors

Djie Tjwan Thung, Joep de Ligt, Lisenka EM Vissers, Marloes Steehouwer, Mark Kroon, Petra de Vries, Eline P Slagboom, Kai Ye, Joris A Veltman, Jayne Y Hehir-Kwa

Abstract

Mobile elements are major drivers in changing genomic architecture and can cause disease. The detection of mobile elements is hindered due to the low mappability of their highly repetitive sequences. We have developed an algorithm, called Mobster, to detect non-reference mobile element insertions in next generation sequencing data from both whole genome and whole exome studies. Mobster uses discordant read pairs and clipped reads in combination with consensus sequences of known active mobile elements. Mobster has a low false discovery rate and high recall rate for both L1 and Alu elements. Mobster is available at http://sourceforge.net/projects/mobster.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Germany 1 <1%
Norway 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 161 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 28%
Researcher 37 22%
Student > Master 17 10%
Student > Bachelor 11 6%
Professor 9 5%
Other 20 12%
Unknown 29 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 37%
Biochemistry, Genetics and Molecular Biology 44 26%
Computer Science 10 6%
Medicine and Dentistry 6 4%
Chemistry 3 2%
Other 8 5%
Unknown 37 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 October 2015.
All research outputs
#6,497,178
of 25,756,911 outputs
Outputs from Genome Biology
#3,082
of 4,512 outputs
Outputs of similar age
#65,914
of 274,974 outputs
Outputs of similar age from Genome Biology
#74
of 118 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 31st percentile – i.e., 31% 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 274,974 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 75% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.