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CRISPR/Cas9: a powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases

Overview of attention for article published in Molecular Neurodegeneration, August 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
3 X users
patent
2 patents

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
298 Mendeley
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Title
CRISPR/Cas9: a powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases
Published in
Molecular Neurodegeneration, August 2015
DOI 10.1186/s13024-015-0031-x
Pubmed ID
Authors

Zhuchi Tu, Weili Yang, Sen Yan, Xiangyu Guo, Xiao-Jiang Li

Abstract

Animal models are extremely valuable to help us understand the pathogenesis of neurodegenerative disorders and to find treatments for them. Since large animals are more like humans than rodents, they make good models to identify the important pathological events that may be seen in humans but not in small animals; large animals are also very important for validating effective treatments or confirming therapeutic targets. Due to the lack of embryonic stem cell lines from large animals, it has been difficult to use traditional gene targeting technology to establish large animal models of neurodegenerative diseases. Recently, CRISPR/Cas9 was used successfully to genetically modify genomes in various species. Here we discuss the use of CRISPR/Cas9 technology to establish large animal models that can more faithfully mimic human neurodegenerative diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
China 1 <1%
Brazil 1 <1%
Unknown 294 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 76 26%
Student > Ph. D. Student 43 14%
Student > Master 43 14%
Student > Doctoral Student 18 6%
Researcher 17 6%
Other 39 13%
Unknown 62 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 89 30%
Agricultural and Biological Sciences 50 17%
Neuroscience 27 9%
Medicine and Dentistry 18 6%
Chemistry 8 3%
Other 36 12%
Unknown 70 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 09 November 2023.
All research outputs
#1,046,951
of 24,946,857 outputs
Outputs from Molecular Neurodegeneration
#58
of 947 outputs
Outputs of similar age
#13,220
of 269,931 outputs
Outputs of similar age from Molecular Neurodegeneration
#1
of 23 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. 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 269,931 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 95% of its contemporaries.
We're also able to compare this research output to 23 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 99% of its contemporaries.