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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 (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
99 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

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Master 11 11%
Researcher 10 10%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 11 11%
Unknown 36 36%
Readers by discipline Count As %
Psychology 15 15%
Engineering 12 12%
Computer Science 8 8%
Neuroscience 4 4%
Social Sciences 4 4%
Other 12 12%
Unknown 44 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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
#7,004,008
of 26,726,803 outputs
Outputs from Frontiers in Human Neuroscience
#2,569
of 7,877 outputs
Outputs of similar age
#110,190
of 354,897 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#39
of 113 outputs
Altmetric has tracked 26,726,803 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,877 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 66% 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 354,897 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 68% 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 61% of its contemporaries.