| Title |
Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, September 2013
|
| DOI | 10.2147/ndt.s50763 |
| Pubmed ID | |
| Authors |
Christian Veauthier |
| Abstract |
The Fatigue Severity Scale (FSS) is widely used to assess fatigue, not only in the context of multiple sclerosis-related fatigue, but also in many other medical conditions. Some polysomnographic studies have shown high FSS values in sleep-disordered patients without multiple sclerosis. The Modified Fatigue Impact Scale (MFIS) has increasingly been used in order to assess fatigue, but polysomnographic data investigating sleep-disordered patients are thus far unavailable. Moreover, the pathophysiological link between sleep architecture and fatigue measured with the MFIS and the FSS has not been previously investigated. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Professor > Associate Professor | 3 | 13% |
| Other | 2 | 8% |
| Professor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 25% |
| Psychology | 3 | 13% |
| Environmental Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 5 | 21% |
| Unknown | 7 | 29% |
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 30 October 2013.
All research outputs
#3,553,978
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#523
of 3,132 outputs
Outputs of similar age
#30,155
of 212,478 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#6
of 67 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 83% 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 212,478 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 85% of its contemporaries.
We're also able to compare this research output to 67 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 91% of its contemporaries.