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Huntington’s Disease

Overview of attention for book
Huntington’s Disease
Springer New York

Table of Contents

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    Book Overview
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    Chapter 1 Stereological Methods to Quantify Cell Loss in the Huntington’s Disease Human Brain
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    Chapter 2 Assessing Autophagic Activity and Aggregate Formation of Mutant Huntingtin in Mammalian Cells
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    Chapter 3 A Filter Retardation Assay Facilitates the Detection and Quantification of Heat-Stable, Amyloidogenic Mutant Huntingtin Aggregates in Complex Biosamples
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    Chapter 4 Cellular Models: HD Patient-Derived Pluripotent Stem Cells
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    Chapter 6 Mouse Models of Huntington’s Disease
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    Chapter 8 Automated Operant Assessments of Huntington’s Disease Mouse Models
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    Chapter 10 Murine Models of Huntington’s Disease for Evaluating Therapeutics
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    Chapter 11 Generating Excitotoxic Lesion Models of Huntington’s Disease
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    Chapter 12 Large-Brained Animal Models of Huntington’s Disease: Sheep
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    Chapter 14 Nonhuman Primate Models of Huntington’s Disease and Their Application in Translational Research
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    Chapter 15 In Vivo Multidimensional Brain Imaging in Huntington’s Disease Animal Models
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    Chapter 16 Magnetic Resonance Imaging in Huntington’s Disease
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    Chapter 17 Biofluid Biomarkers in Huntington’s Disease
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    Chapter 18 Assessing and Modulating Kynurenine Pathway Dynamics in Huntington’s Disease: Focus on Kynurenine 3-Monooxygenase
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    Chapter 20 Using Genomic Data to Find Disease-Modifying Loci in Huntington’s Disease (HD)
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    Chapter 22 Methods for Assessing DNA Repair and Repeat Expansion in Huntington’s Disease
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    Chapter 23 Translating Antisense Technology into a Treatment for Huntington’s Disease
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    Chapter 26 Dissection and Preparation of Human Primary Fetal Ganglionic Eminence Tissue for Research and Clinical Applications
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    Chapter 28 Quality Assessment and Production of Human Cells for Clinical Use
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    Chapter 29 Erratum to: Large-Brained Animal Models of Huntington’s Disease: Sheep
Attention for Chapter 17: Biofluid Biomarkers in Huntington’s Disease
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Chapter title
Biofluid Biomarkers in Huntington’s Disease
Chapter number 17
Book title
Huntington’s Disease
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7825-0_17
Pubmed ID
Book ISBNs
978-1-4939-7824-3, 978-1-4939-7825-0
Authors

Filipe B. Rodrigues, Lauren M. Byrne, Edward J. Wild, Rodrigues, Filipe B., Byrne, Lauren M., Wild, Edward J.

Abstract

Huntington's disease (HD) is a chronic progressive neurodegenerative condition where new markers of disease progression are needed. So far no disease-modifying interventions have been found, and few interventions have been proven to alleviate symptoms. This may be partially explained by the lack of reliable indicators of disease severity, progression, and phenotype.Biofluid biomarkers may bring advantages in addition to clinical measures, such as reliability, reproducibility, price, accuracy, and direct quantification of pathobiological processes at the molecular level; and in addition to empowering clinical trials, they have the potential to generate useful hypotheses for new drug development.In this chapter we review biofluid biomarker reports in HD, emphasizing those we feel are likely to be closest to clinical applicability.

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

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Researcher 8 17%
Student > Master 7 15%
Student > Ph. D. Student 5 11%
Other 2 4%
Other 4 9%
Unknown 11 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Neuroscience 9 20%
Medicine and Dentistry 5 11%
Agricultural and Biological Sciences 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 April 2019.
All research outputs
#3,288,230
of 24,715,720 outputs
Outputs from Methods in molecular biology
#674
of 13,879 outputs
Outputs of similar age
#71,333
of 453,080 outputs
Outputs of similar age from Methods in molecular biology
#41
of 1,486 outputs
Altmetric has tracked 24,715,720 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,879 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 94% 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 453,080 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 83% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.