↓ Skip to main content

Systematic review of autosomal recessive ataxias and proposal for a classification

Overview of attention for article published in Cerebellum & Ataxias, February 2017
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
134 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Systematic review of autosomal recessive ataxias and proposal for a classification
Published in
Cerebellum & Ataxias, February 2017
DOI 10.1186/s40673-017-0061-y
Pubmed ID
Authors

Marie Beaudin, Christopher J. Klein, Guy A. Rouleau, Nicolas Dupré

Abstract

The classification of autosomal recessive ataxias represents a significant challenge because of high genetic heterogeneity and complex phenotypes. We conducted a comprehensive systematic review of the literature to examine all recessive ataxias in order to propose a new classification and properly circumscribe this field as new technologies are emerging for comprehensive targeted gene testing. We searched Pubmed and Embase to identify original articles on recessive forms of ataxia in humans for which a causative gene had been identified. Reference lists and public databases, including OMIM and GeneReviews, were also reviewed. We evaluated the clinical descriptions to determine if ataxia was a core feature of the phenotype and assessed the available evidence on the genotype-phenotype association. Included disorders were classified as primary recessive ataxias, as other complex movement or multisystem disorders with prominent ataxia, or as disorders that may occasionally present with ataxia. After removal of duplicates, 2354 references were reviewed and assessed for inclusion. A total of 130 articles were completely reviewed and included in this qualitative analysis. The proposed new list of autosomal recessive ataxias includes 45 gene-defined disorders for which ataxia is a core presenting feature. We propose a clinical algorithm based on the associated symptoms. We present a new classification for autosomal recessive ataxias that brings awareness to their complex phenotypes while providing a unified categorization of this group of disorders. This review should assist in the development of a consensus nomenclature useful in both clinical and research applications.

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

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Other 17 13%
Researcher 17 13%
Student > Ph. D. Student 14 10%
Student > Bachelor 14 10%
Student > Postgraduate 10 7%
Other 31 23%
Unknown 31 23%
Readers by discipline Count As %
Medicine and Dentistry 46 34%
Neuroscience 16 12%
Biochemistry, Genetics and Molecular Biology 14 10%
Agricultural and Biological Sciences 6 4%
Nursing and Health Professions 4 3%
Other 8 6%
Unknown 40 30%
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 27 June 2018.
All research outputs
#17,879,732
of 22,955,959 outputs
Outputs from Cerebellum & Ataxias
#69
of 103 outputs
Outputs of similar age
#224,478
of 311,210 outputs
Outputs of similar age from Cerebellum & Ataxias
#2
of 2 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 311,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.