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Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals

Overview of attention for article published in Frontiers in Neuroscience, May 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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40 Dimensions

Readers on

mendeley
109 Mendeley
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Title
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
Published in
Frontiers in Neuroscience, May 2019
DOI 10.3389/fnins.2019.00437
Pubmed ID
Authors

Evan Campbell, Angkoon Phinyomark, Erik Scheme

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 13%
Unspecified 12 11%
Student > Master 11 10%
Student > Bachelor 11 10%
Researcher 9 8%
Other 18 17%
Unknown 34 31%
Readers by discipline Count As %
Engineering 26 24%
Computer Science 20 18%
Unspecified 12 11%
Medicine and Dentistry 5 5%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 7 6%
Unknown 37 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 May 2019.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#6,416
of 11,543 outputs
Outputs of similar age
#190,554
of 364,185 outputs
Outputs of similar age from Frontiers in Neuroscience
#167
of 319 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 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 42nd percentile – i.e., 42% 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 364,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.