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Progress in Genome Editing Technology and Its Application in Plants

Overview of attention for article published in Frontiers in Plant Science, February 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
2 patents
facebook
2 Facebook pages

Citations

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91 Dimensions

Readers on

mendeley
219 Mendeley
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Title
Progress in Genome Editing Technology and Its Application in Plants
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00177
Pubmed ID
Authors

Kai Zhang, Nadia Raboanatahiry, Bin Zhu, Maoteng Li

Abstract

Genome editing technology (GET) is a versatile approach that has progressed rapidly as a mechanism to alter the genotype and phenotype of organisms. However, conventional genome modification using GET cannot satisfy current demand for high-efficiency and site-directed mutagenesis, retrofitting of artificial nucleases has developed into a new avenue within this field. Based on mechanisms to recognize target genes, newly-developed GETs can generally be subdivided into three cleavage systems, protein-dependent DNA cleavage systems (i.e., zinc-finger nucleases, ZFN, and transcription activator-like effector nucleases, TALEN), RNA-dependent DNA cleavage systems (i.e., clustered regularly interspaced short palindromic repeats-CRISPR associated proteins, CRISPR-Cas9, CRISPR-Cpf1, and CRISPR-C2c1), and RNA-dependent RNA cleavage systems (i.e., RNA interference, RNAi, and CRISPR-C2c2). All these techniques can lead to double-stranded (DSB) or single-stranded breaks (SSB), and result in either random mutations via non-homologous end-joining (NHEJ) or targeted mutation via homologous recombination (HR). Thus, site-directed mutagenesis can be induced via targeted gene knock-out, knock-in, or replacement to modify specific characteristics including morphology-modification, resistance-enhancement, and physiological mechanism-improvement along with plant growth and development. In this paper, an non-comprehensive review on the development of different GETs as applied to plants is presented.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Chile 1 <1%
Unknown 217 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 21%
Researcher 37 17%
Student > Master 32 15%
Student > Bachelor 21 10%
Student > Doctoral Student 11 5%
Other 30 14%
Unknown 43 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 44%
Biochemistry, Genetics and Molecular Biology 50 23%
Immunology and Microbiology 4 2%
Engineering 3 1%
Nursing and Health Professions 2 <1%
Other 14 6%
Unknown 50 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 July 2023.
All research outputs
#2,541,159
of 23,454,152 outputs
Outputs from Frontiers in Plant Science
#1,175
of 21,442 outputs
Outputs of similar age
#56,789
of 430,752 outputs
Outputs of similar age from Frontiers in Plant Science
#27
of 519 outputs
Altmetric has tracked 23,454,152 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,442 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 430,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 519 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 94% of its contemporaries.