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Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning

Overview of attention for article published in Frontiers in Human Neuroscience, September 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning
Published in
Frontiers in Human Neuroscience, September 2019
DOI 10.3389/fnhum.2019.00295
Pubmed ID
Authors

Ryan McKendrick, Bradley Feest, Amanda Harwood, Brian Falcone

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 11 11%
Researcher 10 10%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 34 35%
Readers by discipline Count As %
Psychology 15 16%
Engineering 12 13%
Computer Science 8 8%
Neuroscience 4 4%
Nursing and Health Professions 3 3%
Other 12 13%
Unknown 42 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 June 2021.
All research outputs
#7,290,102
of 26,215,093 outputs
Outputs from Frontiers in Human Neuroscience
#2,736
of 7,808 outputs
Outputs of similar age
#117,274
of 354,020 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#49
of 113 outputs
Altmetric has tracked 26,215,093 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 64% 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 354,020 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 66% of its contemporaries.
We're also able to compare this research output to 113 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 56% of its contemporaries.