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An overview of sleep and circadian dysfunction in Parkinson's disease

Overview of attention for article published in Journal of Sleep Research, March 2018
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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3 news outlets
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7 X users

Citations

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65 Dimensions

Readers on

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204 Mendeley
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Title
An overview of sleep and circadian dysfunction in Parkinson's disease
Published in
Journal of Sleep Research, March 2018
DOI 10.1111/jsr.12673
Pubmed ID
Authors

Susanna Mantovani, Simon S. Smith, Richard Gordon, John D. O'Sullivan

Abstract

Sleep and circadian alterations are amongst the very first symptoms experienced in Parkinson's disease, and sleep alterations are present in the majority of patients with overt clinical manifestation of Parkinson's disease. However, the magnitude of sleep and circadian dysfunction in Parkinson's disease, and its influence on the pathophysiology of Parkinson's disease remains often unclear and a matter of debate. In particular, the confounding influences of dopaminergic therapy on sleep and circadian dysfunction are a major challenge, and need to be more carefully addressed in clinical studies. The scope of this narrative review is to summarise the current knowledge around both sleep and circadian alterations in Parkinson's disease. We provide an overview on the frequency of excessive daytime sleepiness, insomnia, restless legs, obstructive apnea and nocturia in Parkinson's disease, as well as addressing sleep structure, rapid eye movement sleep behaviour disorder and circadian features in Parkinson's disease. Sleep and circadian disorders have been linked to pathological conditions that are often co-morbid in Parkinson's disease, including cognitive decline, memory impairment and neurodegeneration. Therefore, targeting sleep and circadian alterations could be one of the earliest and most promising opportunities to slow disease progression. We hope that this review will contribute to advance the discussion and inform new research efforts to progress our knowledge in this field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 13%
Student > Ph. D. Student 21 10%
Student > Bachelor 21 10%
Student > Doctoral Student 17 8%
Researcher 13 6%
Other 28 14%
Unknown 77 38%
Readers by discipline Count As %
Medicine and Dentistry 37 18%
Neuroscience 34 17%
Agricultural and Biological Sciences 11 5%
Biochemistry, Genetics and Molecular Biology 10 5%
Nursing and Health Professions 8 4%
Other 20 10%
Unknown 84 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 01 August 2023.
All research outputs
#1,303,139
of 24,477,448 outputs
Outputs from Journal of Sleep Research
#243
of 1,935 outputs
Outputs of similar age
#29,361
of 335,469 outputs
Outputs of similar age from Journal of Sleep Research
#4
of 32 outputs
Altmetric has tracked 24,477,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one has done well, scoring higher than 87% 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 335,469 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 91% of its contemporaries.
We're also able to compare this research output to 32 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.