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Mendeley readers
Attention Score in Context
| Title |
Towards a transgenic model of Huntington’s disease in a non-human primate
|
|---|---|
| Published in |
Nature, May 2008
|
| DOI | 10.1038/nature06975 |
| Pubmed ID | |
| Authors |
Shang-Hsun Yang, Pei-Hsun Cheng, Heather Banta, Karolina Piotrowska-Nitsche, Jin-Jing Yang, Eric C. H. Cheng, Brooke Snyder, Katherine Larkin, Jun Liu, Jack Orkin, Zhi-Hui Fang, Yoland Smith, Jocelyne Bachevalier, Stuart M. Zola, Shi-Hua Li, Xiao-Jiang Li, Anthony W. S. Chan |
| Abstract |
Non-human primates are valuable for modelling human disorders and for developing therapeutic strategies; however, little work has been reported in establishing transgenic non-human primate models of human diseases. Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder characterized by motor impairment, cognitive deterioration and psychiatric disturbances followed by death within 10-15 years of the onset of the symptoms. HD is caused by the expansion of cytosine-adenine-guanine (CAG, translated into glutamine) trinucleotide repeats in the first exon of the human huntingtin (HTT) gene. Mutant HTT with expanded polyglutamine (polyQ) is widely expressed in the brain and peripheral tissues, but causes selective neurodegeneration that is most prominent in the striatum and cortex of the brain. Although rodent models of HD have been developed, these models do not satisfactorily parallel the brain changes and behavioural features observed in HD patients. Because of the close physiological, neurological and genetic similarities between humans and higher primates, monkeys can serve as very useful models for understanding human physiology and diseases. Here we report our progress in developing a transgenic model of HD in a rhesus macaque that expresses polyglutamine-expanded HTT. Hallmark features of HD, including nuclear inclusions and neuropil aggregates, were observed in the brains of the HD transgenic monkeys. Additionally, the transgenic monkeys showed important clinical features of HD, including dystonia and chorea. A transgenic HD monkey model may open the way to understanding the underlying biology of HD better, and to the development of potential therapies. Moreover, our data suggest that it will be feasible to generate valuable non-human primate models of HD and possibly other human genetic diseases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 4 | 1% |
| Brazil | 3 | <1% |
| France | 2 | <1% |
| Italy | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Czechia | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 361 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 76 | 20% |
| Student > Ph. D. Student | 71 | 18% |
| Student > Bachelor | 59 | 15% |
| Student > Master | 45 | 12% |
| Professor > Associate Professor | 20 | 5% |
| Other | 56 | 15% |
| Unknown | 58 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 143 | 37% |
| Biochemistry, Genetics and Molecular Biology | 57 | 15% |
| Neuroscience | 42 | 11% |
| Medicine and Dentistry | 33 | 9% |
| Psychology | 12 | 3% |
| Other | 33 | 9% |
| Unknown | 65 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 120. 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 10 October 2023.
All research outputs
#355,139
of 25,837,817 outputs
Outputs from Nature
#18,313
of 98,779 outputs
Outputs of similar age
#626
of 99,055 outputs
Outputs of similar age from Nature
#26
of 643 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done well, scoring higher than 81% 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 99,055 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 99% of its contemporaries.
We're also able to compare this research output to 643 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 95% of its contemporaries.