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Plant genome editing made easy: targeted mutagenesis in model and crop plants using the CRISPR/Cas system

Overview of attention for article published in Plant Methods, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 1,280)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
59 X users
patent
51 patents
facebook
6 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
506 Dimensions

Readers on

mendeley
1687 Mendeley
citeulike
3 CiteULike
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Title
Plant genome editing made easy: targeted mutagenesis in model and crop plants using the CRISPR/Cas system
Published in
Plant Methods, October 2013
DOI 10.1186/1746-4811-9-39
Pubmed ID
Authors

Khaoula Belhaj, Angela Chaparro-Garcia, Sophien Kamoun, Vladimir Nekrasov

Abstract

Targeted genome engineering (also known as genome editing) has emerged as an alternative to classical plant breeding and transgenic (GMO) methods to improve crop plants. Until recently, available tools for introducing site-specific double strand DNA breaks were restricted to zinc finger nucleases (ZFNs) and TAL effector nucleases (TALENs). However, these technologies have not been widely adopted by the plant research community due to complicated design and laborious assembly of specific DNA binding proteins for each target gene. Recently, an easier method has emerged based on the bacterial type II CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) immune system. The CRISPR/Cas system allows targeted cleavage of genomic DNA guided by a customizable small noncoding RNA, resulting in gene modifications by both non-homologous end joining (NHEJ) and homology-directed repair (HDR) mechanisms. In this review we summarize and discuss recent applications of the CRISPR/Cas technology in plants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 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 1,687 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 1%
France 8 <1%
Netherlands 4 <1%
Germany 4 <1%
Spain 4 <1%
Brazil 4 <1%
United Kingdom 4 <1%
India 3 <1%
Portugal 2 <1%
Other 32 2%
Unknown 1600 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 382 23%
Student > Ph. D. Student 367 22%
Student > Master 229 14%
Student > Bachelor 186 11%
Student > Postgraduate 66 4%
Other 239 14%
Unknown 218 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 1022 61%
Biochemistry, Genetics and Molecular Biology 326 19%
Environmental Science 19 1%
Immunology and Microbiology 10 <1%
Chemistry 9 <1%
Other 52 3%
Unknown 249 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 71. 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 02 August 2023.
All research outputs
#606,035
of 25,576,275 outputs
Outputs from Plant Methods
#12
of 1,280 outputs
Outputs of similar age
#4,993
of 224,177 outputs
Outputs of similar age from Plant Methods
#1
of 11 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 224,177 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 97% of its contemporaries.
We're also able to compare this research output to 11 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 99% of its contemporaries.