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Classification of Sleep Disorders

Overview of attention for article published in Neurotherapeutics, October 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 1,308)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
policy
1 policy source
twitter
2 X users
wikipedia
16 Wikipedia pages

Citations

dimensions_citation
276 Dimensions

Readers on

mendeley
1063 Mendeley
citeulike
1 CiteULike
Title
Classification of Sleep Disorders
Published in
Neurotherapeutics, October 2012
DOI 10.1007/s13311-012-0145-6
Pubmed ID
Authors

Michael J Thorpy

Abstract

The classification of sleep disorders is necessary to discriminate between disorders and to facilitate an understanding of symptoms, etiology, and pathophysiology that allows for appropriate treatment. The earliest classification systems, largely organized according to major symptoms (insomnia, excessive sleepiness, and abnormal events that occur during sleep), were unable to be based on pathophysiology because the cause of most sleep disorders was unknown. These 3 symptom-based categories are easily understood by physicians and are therefore useful for developing a differential diagnosis. The International Classification of Sleep Disorders, version 2, published in 2005 and currently undergoing revision, combines a symptomatic presentation (e.g., insomnia) with 1 organized in part on pathophysiology (e.g., circadian rhythms) and in part on body systems (e.g., breathing disorders). This organization of sleep disorders is necessary because of the varied nature and because the pathophysiology for many of the disorders is still unknown. The International Classification of Sleep Disorders, version 2 provides relevant diagnostic and epidemiological information on sleep disorders to more easily differentiate between the disorders.

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 1,063 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
India 2 <1%
Spain 2 <1%
Sweden 1 <1%
Italy 1 <1%
Canada 1 <1%
Germany 1 <1%
Mexico 1 <1%
United States 1 <1%
Other 0 0%
Unknown 1051 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 210 20%
Student > Master 133 13%
Student > Postgraduate 83 8%
Student > Ph. D. Student 68 6%
Student > Doctoral Student 53 5%
Other 155 15%
Unknown 361 34%
Readers by discipline Count As %
Medicine and Dentistry 323 30%
Nursing and Health Professions 75 7%
Psychology 71 7%
Engineering 38 4%
Neuroscience 29 3%
Other 135 13%
Unknown 392 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 30 January 2024.
All research outputs
#515,222
of 25,373,627 outputs
Outputs from Neurotherapeutics
#38
of 1,308 outputs
Outputs of similar age
#2,689
of 190,989 outputs
Outputs of similar age from Neurotherapeutics
#1
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 97% 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 190,989 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 98% of its contemporaries.
We're also able to compare this research output to 36 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.