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Circadian Impairment of Distal Skin Temperature Rhythm in Patients With Sleep-Disordered Breathing: The Effect of CPAP

Overview of attention for article published in Sleep, April 2017
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  • 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 (89th percentile)

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2 news outlets
blogs
1 blog
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4 X users
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1 Facebook page

Citations

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32 Dimensions

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76 Mendeley
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Title
Circadian Impairment of Distal Skin Temperature Rhythm in Patients With Sleep-Disordered Breathing: The Effect of CPAP
Published in
Sleep, April 2017
DOI 10.1093/sleep/zsx067
Pubmed ID
Authors

Antonio Martinez-Nicolas, Marc Guaita, Joan Santamaría, Josep M. Montserrat, María Ángeles Rol, Juan Antonio Madrid

Abstract

Our aim was to evaluate the circadian rhythm of distal skin temperature (DST) in Sleep Disordered Breathing (SDB), its relation to excessive daytime sleepiness and the effect of continuous positive airway pressure (CPAP) on DST. Eighty SDB patients (53.1±1.2 years old, 27.6% women) and 67 healthy subjects (52.3±1.6 years old, 26.9% women) wore a temperature data logger for one week. On the last day of that week, SDB patients underwent a polysomnography followed by a Maintenance of Wakefulness Test (MWT), Multiple Sleep Latency Test (MSLT) and Sustained Attention to Response Task (SART) protocol to objectively quantify daytime sleepiness. A subset of 21 moderate to severe SDB patients was treated with CPAP during at least 3 months and revaluated with the same procedure. A non-parametrical analysis was performed to characterize DST to assess differences between groups and associations among DST, polysomnography and daytime sleepiness measures. SDB patients showed an unstable, fragmented, flattened, phase-advanced and less robust DST rhythm as compared to healthy subjects. Besides, the more severe the SDB, the worse the DST pattern was, as indicated by the correlation coefficient. Sleepiness, according to MWT sleep latencies, was also associated with the higher fragmentation, lower amplitude and less robustness of the DST rhythm. Treatment with CPAP improved DST pattern regularity and robustness. DST is altered in SDB, exhibiting a direct relationship to the severity of this condition, while improves with CPAP treatment. DST independently correlates with sleepiness, thus, its measurement may contribute to the understanding of the pathophysiology of sleepiness in these patients.

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X Demographics

The data shown below were collected from the profiles of 4 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 9 12%
Student > Doctoral Student 8 11%
Student > Bachelor 6 8%
Student > Ph. D. Student 5 7%
Other 10 13%
Unknown 26 34%
Readers by discipline Count As %
Medicine and Dentistry 10 13%
Nursing and Health Professions 8 11%
Neuroscience 7 9%
Psychology 5 7%
Sports and Recreations 4 5%
Other 12 16%
Unknown 30 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 21 January 2021.
All research outputs
#1,287,484
of 22,965,074 outputs
Outputs from Sleep
#712
of 4,256 outputs
Outputs of similar age
#27,437
of 309,525 outputs
Outputs of similar age from Sleep
#14
of 129 outputs
Altmetric has tracked 22,965,074 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 4,256 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. 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 309,525 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 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.