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Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data

Overview of attention for article published in Journal of Big Data, January 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
16 Mendeley
Title
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data
Published in
Journal of Big Data, January 2021
DOI 10.1186/s40537-020-00406-6
Authors

Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Other 2 13%
Lecturer 2 13%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Computer Science 6 38%
Mathematics 2 13%
Engineering 1 6%
Unknown 7 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 January 2021.
All research outputs
#13,879,369
of 17,397,008 outputs
Outputs from Journal of Big Data
#191
of 263 outputs
Outputs of similar age
#290,785
of 393,089 outputs
Outputs of similar age from Journal of Big Data
#29
of 56 outputs
Altmetric has tracked 17,397,008 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 3rd percentile – i.e., 3% 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 393,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.