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Sleep Stage Classification Using Time-Frequency Spectra From Consecutive Multi-Time Points

Overview of attention for article published in Frontiers in Neuroscience, January 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Readers on

mendeley
31 Mendeley
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Title
Sleep Stage Classification Using Time-Frequency Spectra From Consecutive Multi-Time Points
Published in
Frontiers in Neuroscience, January 2020
DOI 10.3389/fnins.2020.00014
Pubmed ID
Authors

Ziliang Xu, Xuejuan Yang, Jinbo Sun, Peng Liu, Wei Qin

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Researcher 2 6%
Student > Bachelor 2 6%
Unspecified 1 3%
Other 2 6%
Unknown 14 45%
Readers by discipline Count As %
Computer Science 7 23%
Engineering 4 13%
Neuroscience 3 10%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 15 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 February 2020.
All research outputs
#14,693,248
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#5,850
of 11,639 outputs
Outputs of similar age
#229,383
of 476,414 outputs
Outputs of similar age from Frontiers in Neuroscience
#154
of 300 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 476,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.