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Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces

Overview of attention for article published in BioMedical Engineering OnLine, March 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
166 Mendeley
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Title
Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces
Published in
BioMedical Engineering OnLine, March 2014
DOI 10.1186/1475-925x-13-28
Pubmed ID
Authors

Teng Cao, Feng Wan, Chi Man Wong, Janir Nuno da Cruz, Yong Hu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 165 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Student > Master 24 14%
Student > Bachelor 19 11%
Researcher 14 8%
Student > Doctoral Student 9 5%
Other 30 18%
Unknown 39 23%
Readers by discipline Count As %
Engineering 38 23%
Psychology 21 13%
Neuroscience 14 8%
Medicine and Dentistry 11 7%
Computer Science 11 7%
Other 26 16%
Unknown 45 27%
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 21 December 2017.
All research outputs
#7,576,904
of 23,106,390 outputs
Outputs from BioMedical Engineering OnLine
#212
of 826 outputs
Outputs of similar age
#74,138
of 222,000 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 13 outputs
Altmetric has tracked 23,106,390 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 826 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 222,000 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 53% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.