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CLICK: one-step generation of conditional knockout mice

Overview of attention for article published in BMC Genomics, May 2018
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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13 X users
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2 patents

Citations

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77 Dimensions

Readers on

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149 Mendeley
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Title
CLICK: one-step generation of conditional knockout mice
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4713-y
Pubmed ID
Authors

Yoshiki Miyasaka, Yoshihiro Uno, Kazuto Yoshimi, Yayoi Kunihiro, Takuji Yoshimura, Tomohiro Tanaka, Harumi Ishikubo, Yuichi Hiraoka, Norihiko Takemoto, Takao Tanaka, Yoshihiro Ooguchi, Paul Skehel, Tomomi Aida, Junji Takeda, Tomoji Mashimo

Abstract

CRISPR/Cas9 enables the targeting of genes in zygotes; however, efficient approaches to create loxP-flanked (floxed) alleles remain elusive. Here, we show that the electroporation of Cas9, two gRNAs, and long single-stranded DNA (lssDNA) into zygotes, termed CLICK (CRISPR with lssDNA inducing conditional knockout alleles), enables the quick generation of floxed alleles in mice and rats. The high efficiency of CLICK provides homozygous knock-ins in oocytes carrying tissue-specific Cre, which allows the one-step generation of conditional knockouts in founder (F0) mice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 26%
Student > Ph. D. Student 17 11%
Student > Bachelor 11 7%
Other 10 7%
Student > Doctoral Student 9 6%
Other 27 18%
Unknown 36 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 26%
Agricultural and Biological Sciences 30 20%
Neuroscience 14 9%
Medicine and Dentistry 10 7%
Immunology and Microbiology 4 3%
Other 12 8%
Unknown 40 27%
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 08 October 2020.
All research outputs
#2,588,193
of 23,989,432 outputs
Outputs from BMC Genomics
#796
of 10,872 outputs
Outputs of similar age
#54,171
of 329,929 outputs
Outputs of similar age from BMC Genomics
#28
of 243 outputs
Altmetric has tracked 23,989,432 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 10,872 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 329,929 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 83% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.