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Editing the genome of hiPSC with CRISPR/Cas9: disease models

Overview of attention for article published in Mammalian Genome, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
facebook
1 Facebook page

Citations

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75 Dimensions

Readers on

mendeley
244 Mendeley
citeulike
2 CiteULike
Title
Editing the genome of hiPSC with CRISPR/Cas9: disease models
Published in
Mammalian Genome, March 2017
DOI 10.1007/s00335-017-9684-9
Pubmed ID
Authors

Andrew R. Bassett

Abstract

The advent of human-induced pluripotent stem cell (hiPSC) technology has provided a unique opportunity to establish cellular models of disease from individual patients, and to study the effects of the underlying genetic aberrations upon multiple different cell types, many of which would not normally be accessible. Combining this with recent advances in genome editing techniques such as the clustered regularly interspaced short palindromic repeat (CRISPR) system has provided an ability to repair putative causative alleles in patient lines, or introduce disease alleles into a healthy "WT" cell line. This has enabled analysis of isogenic cell pairs that differ in a single genetic change, which allows a thorough assessment of the molecular and cellular phenotypes that result from this abnormality. Importantly, this establishes the true causative lesion, which is often impossible to ascertain from human genetic studies alone. These isogenic cell lines can be used not only to understand the cellular consequences of disease mutations, but also to perform high throughput genetic and pharmacological screens to both understand the underlying pathological mechanisms and to develop novel therapeutic agents to prevent or treat such diseases. In the future, optimising and developing such genetic manipulation technologies may facilitate the provision of cellular or molecular gene therapies, to intervene and ultimately cure many debilitating genetic disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
Unknown 242 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 22%
Researcher 39 16%
Student > Master 38 16%
Student > Bachelor 21 9%
Student > Doctoral Student 13 5%
Other 22 9%
Unknown 58 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 74 30%
Agricultural and Biological Sciences 37 15%
Neuroscience 25 10%
Medicine and Dentistry 23 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 17 7%
Unknown 61 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 July 2018.
All research outputs
#3,222,551
of 22,961,203 outputs
Outputs from Mammalian Genome
#65
of 1,127 outputs
Outputs of similar age
#61,958
of 308,429 outputs
Outputs of similar age from Mammalian Genome
#2
of 8 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 4.6. 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 308,429 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 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.