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GT-Scan: identifying unique genomic targets

Overview of attention for article published in Bioinformatics, May 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
patent
6 patents
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
144 Mendeley
citeulike
1 CiteULike
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Title
GT-Scan: identifying unique genomic targets
Published in
Bioinformatics, May 2014
DOI 10.1093/bioinformatics/btu354
Pubmed ID
Authors

Aidan O'Brien, Timothy L Bailey

Abstract

A number of technologies, including CRISPR/Cas, transcription activator-like effector nucleases and zinc-finger nucleases, allow the user to target a chosen locus for genome editing or regulatory interference. Specificity, however, is a major problem, and the targeted locus must be chosen with care to avoid inadvertently affecting other loci ('off-targets') in the genome. To address this we have created 'Genome Target Scan' (GT-Scan), a flexible web-based tool that ranks all potential targets in a user-selected region of a genome in terms of how many off-targets they have. GT-Scan gives the user flexibility to define the desired characteristics of targets and off-targets via a simple 'target rule', and its interactive output allows detailed inspection of each of the most promising candidate targets. GT-Scan can be used to identify optimal targets for CRISPR/Cas systems, but its flexibility gives it potential to be adapted to other genome-targeting technologies as well.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 139 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 33 23%
Student > Master 15 10%
Student > Bachelor 10 7%
Student > Postgraduate 9 6%
Other 13 9%
Unknown 25 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 33%
Biochemistry, Genetics and Molecular Biology 45 31%
Computer Science 7 5%
Medicine and Dentistry 4 3%
Engineering 3 2%
Other 11 8%
Unknown 27 19%
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 20 February 2024.
All research outputs
#2,088,831
of 25,374,647 outputs
Outputs from Bioinformatics
#1,332
of 12,808 outputs
Outputs of similar age
#20,330
of 240,002 outputs
Outputs of similar age from Bioinformatics
#32
of 205 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 89% 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 240,002 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 91% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.