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A CRISPR/Cas9 toolkit for multiplex genome editing in plants

Overview of attention for article published in BMC Plant Biology, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 3,558)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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2 blogs
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15 patents

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1124 Dimensions

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1252 Mendeley
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1 CiteULike
Title
A CRISPR/Cas9 toolkit for multiplex genome editing in plants
Published in
BMC Plant Biology, November 2014
DOI 10.1186/s12870-014-0327-y
Pubmed ID
Authors

Hui-Li Xing, Li Dong, Zhi-Ping Wang, Hai-Yan Zhang, Chun-Yan Han, Bing Liu, Xue-Chen Wang, Qi-Jun Chen

Abstract

BackgroundTo accelerate the application of the CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/ CRISPR-associated protein 9) system to a variety of plant species, a toolkit with additional plant selectable markers, more gRNA modules, and easier methods for the assembly of one or more gRNA expression cassettes is required.ResultsWe developed a CRISPR/Cas9 binary vector set based on the pGreen or pCAMBIA backbone, as well as a gRNA (guide RNA) module vector set, as a toolkit for multiplex genome editing in plants. This toolkit requires no restriction enzymes besides BsaI to generate final constructs harboring maize-codon optimized Cas9 and one or more gRNAs with high efficiency in as little as one cloning step. The toolkit was validated using maize protoplasts, transgenic maize lines, and transgenic Arabidopsis lines and was shown to exhibit high efficiency and specificity. More importantly, using this toolkit, targeted mutations of three Arabidopsis genes were detected in transgenic seedlings of the T1 generation. Moreover, the multiple-gene mutations could be inherited by the next generation.ConclusionsWe developed a toolkit that facilitates transient or stable expression of the CRISPR/Cas9 system in a variety of plant species, which will facilitate plant research, as it enables high efficiency generation of mutants bearing multiple gene mutations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,252 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 5 <1%
United States 5 <1%
Brazil 3 <1%
Spain 2 <1%
India 2 <1%
Denmark 2 <1%
Australia 1 <1%
Austria 1 <1%
Czechia 1 <1%
Other 9 <1%
Unknown 1221 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 272 22%
Researcher 223 18%
Student > Master 166 13%
Student > Bachelor 128 10%
Student > Doctoral Student 52 4%
Other 153 12%
Unknown 258 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 613 49%
Biochemistry, Genetics and Molecular Biology 302 24%
Engineering 9 <1%
Medicine and Dentistry 6 <1%
Immunology and Microbiology 6 <1%
Other 35 3%
Unknown 281 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 21 December 2023.
All research outputs
#1,429,914
of 25,109,675 outputs
Outputs from BMC Plant Biology
#45
of 3,558 outputs
Outputs of similar age
#19,160
of 374,613 outputs
Outputs of similar age from BMC Plant Biology
#4
of 91 outputs
Altmetric has tracked 25,109,675 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 3,558 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% 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 374,613 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 91 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 96% of its contemporaries.