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The use of nonhuman primate models to understand processes in Parkinson’s disease

Overview of attention for article published in Journal of Neural Transmission, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

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21 Dimensions

Readers on

mendeley
70 Mendeley
Title
The use of nonhuman primate models to understand processes in Parkinson’s disease
Published in
Journal of Neural Transmission, March 2017
DOI 10.1007/s00702-017-1715-x
Pubmed ID
Authors

Javier Blesa, Inés Trigo-Damas, Natalia López-González del Rey, José A. Obeso

Abstract

Research with animal models has led to critical health advances that have saved or improved the lives of millions of human beings. Specifically, nonhuman primate's genetic and anatomo-physiological similarities to humans are especially important for understanding processes like Parkinson's disease, which only occur in humans. Unambiguously, the unique contribution made by nonhuman primate research to our understanding of Parkinson's disease is widely recognized. For example, monkeys with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) parkinsonisms are responsive to dopamine replacement therapies, mimicking what is seen in PD patients. Moreover, groundbreaking neuroanatomical and electrophysiological studies using this monkey model in the 1980s and 1990s enabled researchers to identify the neuronal circuits responsible for the cardinal motor features of PD. This led to the development of subthalamic surgical ablation and deep brain stimulation, the current therapeutic gold standard for neurosurgical treatment. More recently, the mechanisms of α-synuclein spreading testing the prion hypothesis for PD have yielded exciting results. In this review, we discuss and highlight how the findings from nonhuman primate research contribute to our understanding of idiopathic Parkinson's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Researcher 10 14%
Student > Ph. D. Student 8 11%
Student > Bachelor 7 10%
Other 6 9%
Other 11 16%
Unknown 16 23%
Readers by discipline Count As %
Neuroscience 20 29%
Medicine and Dentistry 10 14%
Engineering 3 4%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 10 14%
Unknown 21 30%
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 28 September 2019.
All research outputs
#3,091,013
of 22,962,258 outputs
Outputs from Journal of Neural Transmission
#196
of 1,779 outputs
Outputs of similar age
#58,982
of 308,769 outputs
Outputs of similar age from Journal of Neural Transmission
#6
of 30 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,779 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 308,769 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 80% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.