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Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusion

Overview of attention for article published in Genome Biology (Online Edition), May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
77 tweeters
patent
2 patents

Citations

dimensions_citation
284 Dimensions

Readers on

mendeley
268 Mendeley
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Title
Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusion
Published in
Genome Biology (Online Edition), May 2018
DOI 10.1186/s13059-018-1443-z
Pubmed ID
Authors

Chao Li, Yuan Zong, Yanpeng Wang, Shuai Jin, Dingbo Zhang, Qianna Song, Rui Zhang, Caixia Gao

Abstract

Nucleotide base editors in plants have been limited to conversion of cytosine to thymine. Here, we describe a new plant adenine base editor based on an evolved tRNA adenosine deaminase fused to the nickase CRISPR/Cas9, enabling A•T to G•C conversion at frequencies up to 7.5% in protoplasts and 59.1% in regenerated rice and wheat plants. An endogenous gene is also successfully modified through introducing a gain-of-function point mutation to directly produce an herbicide-tolerant rice plant. With this new adenine base editing system, it is now possible to precisely edit all base pairs, thus expanding the toolset for precise editing in plants.

Twitter Demographics

The data shown below were collected from the profiles of 77 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 268 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 22%
Researcher 50 19%
Student > Master 26 10%
Student > Bachelor 22 8%
Student > Doctoral Student 18 7%
Other 27 10%
Unknown 65 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 45%
Biochemistry, Genetics and Molecular Biology 62 23%
Chemistry 3 1%
Medicine and Dentistry 3 1%
Unspecified 2 <1%
Other 9 3%
Unknown 68 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 April 2022.
All research outputs
#393,750
of 21,745,818 outputs
Outputs from Genome Biology (Online Edition)
#268
of 4,003 outputs
Outputs of similar age
#9,964
of 301,060 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,745,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 93% 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 301,060 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them