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Genetic variability in SNCA and Parkinson’s disease

Overview of attention for article published in neurogenetics, July 2011
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Title
Genetic variability in SNCA and Parkinson’s disease
Published in
neurogenetics, July 2011
DOI 10.1007/s10048-011-0292-7
Pubmed ID
Authors

Lasse Pihlstrøm, Mathias Toft

Abstract

Over the last decades, increasing knowledge about the genetic architecture of Parkinson's disease has provided novel insights into the pathogenesis of the disorder, generating hypotheses for further research. Characterizing the role of SNCA, encoding the α-synuclein protein, has been a particularly important aspect of this development. The identification of SNCA as the first gene implicated in monogenic parkinsonism led to the recognition of α-synuclein as a key protein in the pathogenesis and a major component of pathological hallmark lesions. An association between common variants in SNCA and risk of sporadic Parkinson's disease has been established through numerous studies. We review our current understanding of SNCA variability contributing to Parkinson's disease, highlighting the characterization of functionally relevant susceptibility alleles as a major future challenge. We argue that new strategies will be needed to pinpoint the variants that are ultimately responsible for the signals detected in association studies, where targeted resequencing may represent an attractive initial approach.

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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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 15%
Student > Master 9 15%
Student > Ph. D. Student 8 13%
Student > Bachelor 7 11%
Student > Doctoral Student 3 5%
Other 13 21%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 13 21%
Neuroscience 10 16%
Agricultural and Biological Sciences 9 15%
Biochemistry, Genetics and Molecular Biology 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 9 15%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 April 2012.
All research outputs
#15,242,847
of 22,664,267 outputs
Outputs from neurogenetics
#260
of 375 outputs
Outputs of similar age
#84,630
of 119,447 outputs
Outputs of similar age from neurogenetics
#1
of 1 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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