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Precision cancer mouse models through genome editing with CRISPR-Cas9

Overview of attention for article published in Genome Medicine, June 2015
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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23 X users
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2 Facebook pages

Citations

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92 Dimensions

Readers on

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272 Mendeley
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Title
Precision cancer mouse models through genome editing with CRISPR-Cas9
Published in
Genome Medicine, June 2015
DOI 10.1186/s13073-015-0178-7
Pubmed ID
Authors

Haiwei Mou, Zachary Kennedy, Daniel G. Anderson, Hao Yin, Wen Xue

Abstract

The cancer genome is highly complex, with hundreds of point mutations, translocations, and chromosome gains and losses per tumor. To understand the effects of these alterations, precise models are needed. Traditional approaches to the construction of mouse models are time-consuming and laborious, requiring manipulation of embryonic stem cells and multiple steps. The recent development of the clustered regularly interspersed short palindromic repeats (CRISPR)-Cas9 system, a powerful genome-editing tool for efficient and precise genome engineering in cultured mammalian cells and animals, is transforming mouse-model generation. Here, we review how CRISPR-Cas9 has been used to create germline and somatic mouse models with point mutations, deletions and complex chromosomal rearrangements. We highlight the progress and challenges of such approaches, and how these models can be used to understand the evolution and progression of individual tumors and identify new strategies for cancer treatment. The generation of precision cancer mouse models through genome editing will provide a rapid avenue for functional cancer genomics and pave the way for precision cancer medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Chile 1 <1%
Canada 1 <1%
Peru 1 <1%
Philippines 1 <1%
Unknown 267 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 19%
Student > Bachelor 50 18%
Researcher 44 16%
Student > Master 41 15%
Other 12 4%
Other 28 10%
Unknown 45 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 89 33%
Agricultural and Biological Sciences 78 29%
Medicine and Dentistry 19 7%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Neuroscience 7 3%
Other 22 8%
Unknown 49 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 04 November 2016.
All research outputs
#2,294,323
of 23,523,017 outputs
Outputs from Genome Medicine
#524
of 1,464 outputs
Outputs of similar age
#30,279
of 267,800 outputs
Outputs of similar age from Genome Medicine
#13
of 34 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 64% 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 267,800 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 88% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.