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Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study

Overview of attention for article published in BioMedical Engineering OnLine, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study
Published in
BioMedical Engineering OnLine, August 2017
DOI 10.1186/s12938-017-0358-3
Pubmed ID
Authors

Shirin Najdi, Ali Abdollahi Gharbali, José Manuel Fonseca

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 11 21%
Student > Master 7 13%
Student > Bachelor 6 12%
Lecturer 2 4%
Other 6 12%
Unknown 7 13%
Readers by discipline Count As %
Engineering 13 25%
Computer Science 10 19%
Medicine and Dentistry 6 12%
Neuroscience 3 6%
Psychology 1 2%
Other 7 13%
Unknown 12 23%
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 04 August 2022.
All research outputs
#7,544,407
of 23,016,919 outputs
Outputs from BioMedical Engineering OnLine
#212
of 824 outputs
Outputs of similar age
#120,796
of 318,843 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 20 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 318,843 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 54% of its contemporaries.
We're also able to compare this research output to 20 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 55% of its contemporaries.