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Mammalian Sleep Dynamics: How Diverse Features Arise from a Common Physiological Framework

Overview of attention for article published in PLoS Computational Biology, June 2010
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
157 Mendeley
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Title
Mammalian Sleep Dynamics: How Diverse Features Arise from a Common Physiological Framework
Published in
PLoS Computational Biology, June 2010
DOI 10.1371/journal.pcbi.1000826
Pubmed ID
Authors

Andrew J. K. Phillips, Peter A. Robinson, David J. Kedziora, Romesh G. Abeysuriya

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Germany 2 1%
Hungary 2 1%
Portugal 1 <1%
Turkey 1 <1%
France 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
India 1 <1%
Other 6 4%
Unknown 135 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 30 19%
Student > Master 16 10%
Student > Bachelor 15 10%
Professor > Associate Professor 13 8%
Other 35 22%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 34%
Neuroscience 19 12%
Medicine and Dentistry 13 8%
Physics and Astronomy 12 8%
Psychology 10 6%
Other 27 17%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 26 August 2020.
All research outputs
#2,291,072
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#2,069
of 8,960 outputs
Outputs of similar age
#8,234
of 104,531 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 51 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 76% 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 104,531 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 92% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.