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CRISPR-SKIP: programmable gene splicing with single base editors

Overview of attention for article published in Genome Biology (Online Edition), August 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 (98th percentile)

Mentioned by

news
15 news outlets
blogs
6 blogs
twitter
77 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
237 Mendeley
citeulike
2 CiteULike
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Title
CRISPR-SKIP: programmable gene splicing with single base editors
Published in
Genome Biology (Online Edition), August 2018
DOI 10.1186/s13059-018-1482-5
Pubmed ID
Authors

Michael Gapinske, Alan Luu, Jackson Winter, Wendy S. Woods, Kurt A. Kostan, Nikhil Shiva, Jun S. Song, Pablo Perez-Pinera

Abstract

CRISPR gene editing has revolutionized biomedicine and biotechnology by providing a simple means to engineer genes through targeted double-strand breaks in the genomic DNA of living cells. However, given the stochasticity of cellular DNA repair mechanisms and the potential for off-target mutations, technologies capable of introducing targeted changes with increased precision, such as single-base editors, are preferred. We present a versatile method termed CRISPR-SKIP that utilizes cytidine deaminase single-base editors to program exon skipping by mutating target DNA bases within splice acceptor sites. Given its simplicity and precision, CRISPR-SKIP will be broadly applicable in gene therapy and synthetic biology.

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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 237 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 23%
Researcher 48 20%
Student > Bachelor 32 14%
Student > Master 22 9%
Student > Doctoral Student 8 3%
Other 28 12%
Unknown 44 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 83 35%
Agricultural and Biological Sciences 58 24%
Neuroscience 8 3%
Medicine and Dentistry 8 3%
Immunology and Microbiology 5 2%
Other 19 8%
Unknown 56 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 183. 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 16 July 2021.
All research outputs
#127,175
of 18,365,335 outputs
Outputs from Genome Biology (Online Edition)
#63
of 3,718 outputs
Outputs of similar age
#3,746
of 287,361 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,365,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. 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 287,361 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 98% 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