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Cas9-mediated allelic exchange repairs compound heterozygous recessive mutations in mice

Overview of attention for article published in Nature Biotechnology, October 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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
1 news outlet
twitter
52 X users
patent
8 patents

Citations

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37 Dimensions

Readers on

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97 Mendeley
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Title
Cas9-mediated allelic exchange repairs compound heterozygous recessive mutations in mice
Published in
Nature Biotechnology, October 2018
DOI 10.1038/nbt.4219
Pubmed ID
Authors

Dan Wang, Jia Li, Chun-Qing Song, Karen Tran, Haiwei Mou, Pei-Hsuan Wu, Phillip W L Tai, Craig A Mendonca, Lingzhi Ren, Blake Y Wang, Qin Su, Dominic J Gessler, Phillip D Zamore, Wen Xue, Guangping Gao

Abstract

We report a genome-editing strategy to correct compound heterozygous mutations, a common genotype in patients with recessive genetic disorders. Adeno-associated viral vector delivery of Cas9 and guide RNA induces allelic exchange and rescues the disease phenotype in mouse models of hereditary tyrosinemia type I and mucopolysaccharidosis type I. This approach recombines non-mutated genetic information present in two heterozygous alleles into one functional allele without using donor DNA templates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 19 20%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Student > Master 5 5%
Other 12 12%
Unknown 27 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 37%
Agricultural and Biological Sciences 18 19%
Medicine and Dentistry 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Unspecified 2 2%
Other 6 6%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 26 September 2023.
All research outputs
#1,116,774
of 25,364,936 outputs
Outputs from Nature Biotechnology
#1,986
of 8,546 outputs
Outputs of similar age
#23,982
of 354,473 outputs
Outputs of similar age from Nature Biotechnology
#44
of 100 outputs
Altmetric has tracked 25,364,936 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 8,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.3. This one has done well, scoring higher than 76% 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 354,473 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 93% of its contemporaries.
We're also able to compare this research output to 100 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 56% of its contemporaries.