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Polyglutamine Disorders

Overview of attention for book
Cover of 'Polyglutamine Disorders'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Clinical Features of Huntington’s Disease
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    Chapter 2 Genetic Rodent Models of Huntington Disease
  4. Altmetric Badge
    Chapter 3 Mitochondrial Dysfunction in Huntington’s Disease
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    Chapter 4 RNA Related Pathology in Huntington’s Disease
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    Chapter 5 X-Linked Spinal and Bulbar Muscular Atrophy: From Clinical Genetic Features and Molecular Pathology to Mechanisms Underlying Disease Toxicity
  7. Altmetric Badge
    Chapter 6 Spinocerebellar Ataxia Type 1: Molecular Mechanisms of Neurodegeneration and Preclinical Studies
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    Chapter 7 Spinocerebellum Ataxia Type 6: Molecular Mechanisms and Calcium Channel Genetics
  9. Altmetric Badge
    Chapter 8 Spinocerebellar Ataxia Type 2
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    Chapter 9 Molecular Mechanisms and Therapeutic Strategies in Spinocerebellar Ataxia Type 7
  11. Altmetric Badge
    Chapter 10 Spinocerebellar Ataxia Type 17 (SCA17)
  12. Altmetric Badge
    Chapter 11 The Neuropathology of Spinocerebellar Ataxia Type 3/Machado-Joseph Disease
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    Chapter 12 Origins and Spread of Machado-Joseph Disease Ancestral Mutations Events
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    Chapter 13 Clinical Features of Machado-Joseph Disease
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    Chapter 14 Polyglutamine-Independent Features in Ataxin-3 Aggregation and Pathogenesis of Machado-Joseph Disease
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    Chapter 15 Animal Models of Machado-Joseph Disease
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    Chapter 16 Towards the Identification of Molecular Biomarkers of Spinocerebellar Ataxia Type 3 (SCA3)/Machado-Joseph Disease (MJD)
  18. Altmetric Badge
    Chapter 17 Planning Future Clinical Trials for Machado-Joseph Disease
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    Chapter 18 Molecular Mechanisms and Cellular Pathways Implicated in Machado-Joseph Disease Pathogenesis
  20. Altmetric Badge
    Chapter 19 Pharmacological Therapies for Machado-Joseph Disease
  21. Altmetric Badge
    Chapter 20 Gene Therapies for Polyglutamine Diseases
  22. Altmetric Badge
    Chapter 21 Stem Cell-Based Therapies for Polyglutamine Diseases
Attention for Chapter 18: Molecular Mechanisms and Cellular Pathways Implicated in Machado-Joseph Disease Pathogenesis
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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3 X users
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1 Wikipedia page

Citations

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56 Mendeley
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Chapter title
Molecular Mechanisms and Cellular Pathways Implicated in Machado-Joseph Disease Pathogenesis
Chapter number 18
Book title
Polyglutamine Disorders
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-3-319-71779-1_18
Pubmed ID
Book ISBNs
978-3-31-971778-4, 978-3-31-971779-1
Authors

Clévio Nóbrega, Ana Teresa Simões, Joana Duarte-Neves, Sónia Duarte, Ana Vasconcelos-Ferreira, Janete Cunha-Santos, Dina Pereira, Magda Santana, Cláudia Cavadas, Luís Pereira de Almeida, Nóbrega, Clévio, Simões, Ana Teresa, Duarte-Neves, Joana, Duarte, Sónia, Vasconcelos-Ferreira, Ana, Cunha-Santos, Janete, Pereira, Dina, Santana, Magda, Cavadas, Cláudia, de Almeida, Luís Pereira

Abstract

Machado-Joseph disease (MJD) is a dominantly inherited disorder originally described in people of Portuguese descent, and associated with the expansion of a CAG tract in the coding region of the causative gene MJD1/ATX3. The CAG repeats range from 10 to 51 in the normal population and from 55 to 87 in SCA3/MJD patients. MJD1 encodes ataxin-3, a protein whose physiological function has been linked to ubiquitin-mediated proteolysis. Despite the identification of the causative mutation, the pathogenic process leading to the neurodegeneration observed in the disease is not yet completely understood. In the past years, several studies identified different molecular mechanisms and cellular pathways as being impaired or deregulated in MJD. Autophagy, proteolysis or post-translational modifications, among other processes, were implicated in MJD pathogenesis. From these studies it was possible to identify new targets for therapeutic intervention, which in some cases proved successful in models of disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Bachelor 8 14%
Student > Ph. D. Student 6 11%
Researcher 4 7%
Professor 2 4%
Other 6 11%
Unknown 20 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 12 21%
Neuroscience 5 9%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 2 4%
Other 1 2%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 April 2020.
All research outputs
#6,357,029
of 23,023,224 outputs
Outputs from Advances in experimental medicine and biology
#992
of 4,964 outputs
Outputs of similar age
#128,759
of 442,364 outputs
Outputs of similar age from Advances in experimental medicine and biology
#28
of 237 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,964 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 79% 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 442,364 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.