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Tangram: a comprehensive toolbox for mobile element insertion detection

Overview of attention for article published in BMC Genomics, September 2014
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
4 CiteULike
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Title
Tangram: a comprehensive toolbox for mobile element insertion detection
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-795
Pubmed ID
Authors

Jiantao Wu, Wan-Ping Lee, Alistair Ward, Jerilyn A Walker, Miriam K Konkel, Mark A Batzer, Gabor T Marth

Abstract

Mobile elements (MEs) constitute greater than 50% of the human genome as a result of repeated insertion events during human genome evolution. Although most of these elements are now fixed in the population, some MEs, including ALU, L1, SVA and HERV-K elements, are still actively duplicating. Mobile element insertions (MEIs) have been associated with human genetic disorders, including Crohn's disease, hemophilia, and various types of cancer, motivating the need for accurate MEI detection methods. To comprehensively identify and accurately characterize these variants in whole genome next-generation sequencing (NGS) data, a computationally efficient detection and genotyping method is required. Current computational tools are unable to call MEI polymorphisms with sufficiently high sensitivity and specificity, or call individual genotypes with sufficiently high accuracy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 2 2%
France 1 <1%
Norway 1 <1%
Germany 1 <1%
Italy 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 109 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 29%
Researcher 30 25%
Student > Master 15 13%
Professor 9 8%
Student > Bachelor 4 3%
Other 13 11%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 41%
Biochemistry, Genetics and Molecular Biology 28 24%
Computer Science 11 9%
Medicine and Dentistry 5 4%
Social Sciences 2 2%
Other 4 3%
Unknown 20 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 November 2014.
All research outputs
#2,809,642
of 25,706,302 outputs
Outputs from BMC Genomics
#822
of 11,305 outputs
Outputs of similar age
#28,156
of 247,069 outputs
Outputs of similar age from BMC Genomics
#23
of 291 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,305 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 247,069 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 88% of its contemporaries.
We're also able to compare this research output to 291 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 92% of its contemporaries.