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A high-throughput screening strategy for detecting CRISPR-Cas9 induced mutations using next-generation sequencing

Overview of attention for article published in BMC Genomics, November 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
25 X users
patent
10 patents
facebook
2 Facebook pages
googleplus
3 Google+ users
reddit
1 Redditor
q&a
1 Q&A thread

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
335 Mendeley
citeulike
1 CiteULike
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Title
A high-throughput screening strategy for detecting CRISPR-Cas9 induced mutations using next-generation sequencing
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1002
Pubmed ID
Authors

Charles C Bell, Graham W Magor, Kevin R Gillinder, Andrew C Perkins

Abstract

CRISPR-Cas9 is a revolutionary genome editing technique that allows for efficient and directed alterations of the eukaryotic genome. This relatively new technology has already been used in a large number of 'loss of function' experiments in cultured cells. Despite its simplicity and efficiency, screening for mutated clones remains time-consuming, laborious and/or expensive.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 3 <1%
Germany 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
China 1 <1%
Portugal 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 320 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 84 25%
Student > Ph. D. Student 72 21%
Student > Bachelor 38 11%
Student > Master 35 10%
Other 17 5%
Other 53 16%
Unknown 36 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 145 43%
Biochemistry, Genetics and Molecular Biology 94 28%
Medicine and Dentistry 18 5%
Immunology and Microbiology 9 3%
Engineering 7 2%
Other 22 7%
Unknown 40 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 11 October 2023.
All research outputs
#1,422,578
of 25,373,627 outputs
Outputs from BMC Genomics
#249
of 11,244 outputs
Outputs of similar age
#18,531
of 369,141 outputs
Outputs of similar age from BMC Genomics
#5
of 354 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 369,141 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 94% of its contemporaries.
We're also able to compare this research output to 354 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 98% of its contemporaries.