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Huntington disease: natural history, biomarkers and prospects for therapeutics

Overview of attention for article published in Nature Reviews Neurology, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 blogs
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9 patents
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2 Facebook pages

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1166 Mendeley
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Article details
Title
Huntington disease: natural history, biomarkers and prospects for therapeutics
Published in
Nature Reviews Neurology, March 2014
DOI 10.1038/nrneurol.2014.24
Pubmed ID
Authors
Abstract

Huntington disease (HD) can be seen as a model neurodegenerative disorder, in that it is caused by a single genetic mutation and is amenable to predictive genetic testing, with estimation of years to predicted onset, enabling the entire range of disease natural history to be studied. Structural neuroimaging biomarkers show that progressive regional brain atrophy begins many years before the emergence of diagnosable signs and symptoms of HD, and continues steadily during the symptomatic or 'manifest' period. The continued development of functional, neurochemical and other biomarkers raises hopes that these biomarkers might be useful for future trials of disease-modifying therapeutics to delay the onset and slow the progression of HD. Such advances could herald a new era of personalized preventive therapeutics. We describe the natural history of HD, including the timing of emergence of motor, cognitive and emotional impairments, and the techniques that are used to assess these features. Building on this information, we review recent progress in the development of biomarkers for HD, and potential future roles of these biomarkers in clinical trials.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 1,166 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 %
United States 7 <1%
United Kingdom 3 <1%
Spain 3 <1%
Germany 3 <1%
Brazil 2 <1%
Austria 2 <1%
Sweden 1 <1%
Russia 1 <1%
Korea, Republic of 1 <1%
Other 5 <1%
Unknown 1138 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 185 16%
Student > Bachelor 158 14%
Student > Master 138 12%
Researcher 125 11%
Other 68 6%
Other 145 12%
Unknown 347 30%
Readers by discipline
Readers by discipline Count As %
Neuroscience 176 15%
Medicine and Dentistry 158 14%
Agricultural and Biological Sciences 145 12%
Biochemistry, Genetics and Molecular Biology 137 12%
Pharmacology, Toxicology and Pharmaceutical Science 35 3%
Other 133 11%
Unknown 382 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 18 June 2026.
All research outputs
#1,357,358
of 34,762,862 outputs
Outputs from Nature Reviews Neurology
#284
of 2,593 outputs
Outputs of similar age
#10,988
of 266,682 outputs
Outputs of similar age from Nature Reviews Neurology
#3
of 47 outputs
Altmetric has tracked 34,762,862 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has done well, scoring higher than 89% 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 266,682 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 47 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 93% of its contemporaries.