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Beyond ALS and FTD: the phenotypic spectrum of TBK1 mutations includes PSP-like and cerebellar phenotypes

Overview of attention for article published in Neurobiology of Aging, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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9 X users

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81 Mendeley
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Article details
Title
Beyond ALS and FTD: the phenotypic spectrum of TBK1 mutations includes PSP-like and cerebellar phenotypes
Published in
Neurobiology of Aging, October 2017
DOI 10.1016/j.neurobiolaging.2017.10.010
Pubmed ID
Authors
Abstract

Mutations in the TANK-binding kinase 1 gene (TBK1) are a rare, but recurrent cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). However, the complete phenotypic spectrum of syndromes associated with TBK1 mutations remains to be elucidated. Using next-generation panel-sequencing of neurodegenerative disease genes, we identified a TBK1 index patient presenting with a progressive supranuclear palsy-like syndrome. Consecutively, we screened the whole-exome sequencing data of 439 index subjects presenting with various neurodegenerative syndromes outside the ALS-FTD spectrum for TBK1 mutations. Based on this genetic screen, we identified another TBK1 index patient presenting with progressive cerebellar ataxia. Both index patients carried the established p.Glu643del TBK1 mutation (c.1928_1930delAAG). In the index patients' families, we identified mesencephalic and cerebellar atrophy as recurrent imaging findings of TBK1-associated neurodegeneration, with cerebellar atrophy occurring even in presymptomatic mutation carriers. Our findings demonstrate that the phenotypic spectrum of TBK1 mutations extends beyond ALS and FTD to include also progressive supranuclear palsy-like and cerebellar syndromes, with mesencephalon and cerebellum representing recurrent sites of TBK1-associated neurodegeneration.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 21%
Student > Master 10 12%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 8 10%
Student > Postgraduate 7 9%
Other 16 20%
Unknown 15 19%
Readers by discipline
Readers by discipline Count As %
Neuroscience 19 23%
Medicine and Dentistry 15 19%
Biochemistry, Genetics and Molecular Biology 11 14%
Agricultural and Biological Sciences 4 5%
Psychology 4 5%
Other 7 9%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2018.
All research outputs
#6,692,517
of 32,282,066 outputs
Outputs from Neurobiology of Aging
#2,243
of 4,919 outputs
Outputs of similar age
#88,919
of 359,919 outputs
Outputs of similar age from Neurobiology of Aging
#14
of 67 outputs
Altmetric has tracked 32,282,066 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,919 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 54% 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 359,919 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 75% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.