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Sleep continuity: a new metric to quantify disrupted hypnograms in non-sedated intensive care unit patients

Overview of attention for article published in Critical Care, November 2014
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
9 tweeters
facebook
3 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Sleep continuity: a new metric to quantify disrupted hypnograms in non-sedated intensive care unit patients
Published in
Critical Care, November 2014
DOI 10.1186/s13054-014-0628-4
Pubmed ID
Authors

Xavier Drouot, Agathe Bridoux, Arnaud Wilfrid Thille, Ferran Roche-Campo, Ana Cordoba-Izquierdo, Sandrine Katsahian, Laurent Brochard, Marie-Pia d’Ortho

Abstract

Sleep in intensive care unit (ICU) patients is severely altered. In a large proportion of critically ill patients, conventional sleep electroencephalogram (EEG) patterns are replaced by atypical sleep. On the other hand, some non-sedated patients can display usual sleep EEG patterns. In the latter, sleep is highly fragmented and disrupted and conventional rules may not be optimal. We sought to determine whether sleep continuity could be a useful metric to quantify the amount of sleep with recuperative function in critically ill patients with usual sleep EEG features.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Czechia 1 1%
South Africa 1 1%
Brazil 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 23%
Researcher 11 16%
Student > Ph. D. Student 9 13%
Student > Bachelor 5 7%
Other 4 6%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Nursing and Health Professions 11 16%
Neuroscience 7 10%
Engineering 4 6%
Agricultural and Biological Sciences 3 4%
Other 7 10%
Unknown 13 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 06 August 2015.
All research outputs
#2,685,392
of 15,641,217 outputs
Outputs from Critical Care
#2,073
of 4,941 outputs
Outputs of similar age
#51,701
of 306,556 outputs
Outputs of similar age from Critical Care
#108
of 230 outputs
Altmetric has tracked 15,641,217 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 57% 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 306,556 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 83% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.