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Multiple system atrophy: genetic risks and alpha-synuclein mutations

Overview of attention for article published in F1000 Research, November 2017
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Title
Multiple system atrophy: genetic risks and alpha-synuclein mutations
Published in
F1000 Research, November 2017
DOI 10.12688/f1000research.12193.1
Pubmed ID
Authors

Heather T Whittaker, Yichen Qui, Conceição Bettencourt, Henry Houlden

Abstract

Multiple system atrophy (MSA) is one of the few neurodegenerative disorders where we have a significant understanding of the clinical and pathological manifestations but where the aetiology remains almost completely unknown. Research to overcome this hurdle is gaining momentum through international research collaboration and a series of genetic and molecular discoveries in the last few years, which have advanced our knowledge of this rare synucleinopathy. In MSA, the discovery of α-synuclein pathology and glial cytoplasmic inclusions remain the most significant findings. Families with certain types of α-synuclein mutations develop diseases that mimic MSA, and the spectrum of clinical and pathological features in these families suggests a spectrum of severity, from late-onset Parkinson's disease to MSA. Nonetheless, controversies persist, such as the role of common α-synuclein variants in MSA and whether this disorder shares a common mechanism of spreading pathology with other protein misfolding neurodegenerative diseases. Here, we review these issues, specifically focusing on α-synuclein mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 22%
Student > Master 12 11%
Researcher 11 10%
Student > Ph. D. Student 11 10%
Other 6 5%
Other 15 14%
Unknown 32 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 26%
Neuroscience 9 8%
Medicine and Dentistry 8 7%
Agricultural and Biological Sciences 8 7%
Chemistry 5 5%
Other 14 13%
Unknown 38 34%
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 05 March 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from F1000 Research
#5,106
of 6,008 outputs
Outputs of similar age
#339,298
of 445,786 outputs
Outputs of similar age from F1000 Research
#132
of 156 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.