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Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys

Overview of attention for article published in Cell, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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1 blog
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29 X users
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1 Facebook page
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1 Redditor
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1 research highlight platform

Citations

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161 Dimensions

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210 Mendeley
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Title
Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys
Published in
Cell, May 2017
DOI 10.1016/j.cell.2017.04.035
Pubmed ID
Authors

Yongchang Chen, Juehua Yu, Yuyu Niu, Dongdong Qin, Hailiang Liu, Gang Li, Yingzhou Hu, Jiaojian Wang, Yi Lu, Yu Kang, Yong Jiang, Kunhua Wu, Siguang Li, Jingkuan Wei, Jing He, Junbang Wang, Xiaojing Liu, Yuping Luo, Chenyang Si, Raoxian Bai, Kunshan Zhang, Jie Liu, Shaoyong Huang, Zhenzhen Chen, Shuang Wang, Xiaoying Chen, Xinhua Bao, Qingping Zhang, Fuxing Li, Rui Geng, Aibin Liang, Dinggang Shen, Tianzi Jiang, Xintian Hu, Yuanye Ma, Weizhi Ji, Yi Eve Sun

Abstract

Gene-editing technologies have made it feasible to create nonhuman primate models for human genetic disorders. Here, we report detailed genotypes and phenotypes of TALEN-edited MECP2 mutant cynomolgus monkeys serving as a model for a neurodevelopmental disorder, Rett syndrome (RTT), which is caused by loss-of-function mutations in the human MECP2 gene. Male mutant monkeys were embryonic lethal, reiterating that RTT is a disease of females. Through a battery of behavioral analyses, including primate-unique eye-tracking tests, in combination with brain imaging via MRI, we found a series of physiological, behavioral, and structural abnormalities resembling clinical manifestations of RTT. Moreover, blood transcriptome profiling revealed that mutant monkeys resembled RTT patients in immune gene dysregulation. Taken together, the stark similarity in phenotype and/or endophenotype between monkeys and patients suggested that gene-edited RTT founder monkeys would be of value for disease mechanistic studies as well as development of potential therapeutic interventions for RTT.

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X Demographics

The data shown below were collected from the profiles of 29 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 210 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 17%
Researcher 32 15%
Student > Bachelor 27 13%
Student > Master 24 11%
Student > Doctoral Student 11 5%
Other 36 17%
Unknown 44 21%
Readers by discipline Count As %
Neuroscience 36 17%
Biochemistry, Genetics and Molecular Biology 34 16%
Agricultural and Biological Sciences 31 15%
Medicine and Dentistry 22 10%
Psychology 8 4%
Other 30 14%
Unknown 49 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 06 March 2022.
All research outputs
#1,676,938
of 25,732,188 outputs
Outputs from Cell
#5,060
of 17,267 outputs
Outputs of similar age
#31,275
of 325,474 outputs
Outputs of similar age from Cell
#100
of 135 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has gotten more attention than average, scoring higher than 70% 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 325,474 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 90% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.