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Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools

Overview of attention for article published in Frontiers in Neuroinformatics, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools
Published in
Frontiers in Neuroinformatics, November 2019
DOI 10.3389/fninf.2019.00073
Pubmed ID
Authors

Grzegorz M. Wojcik, Jolanta Masiak, Andrzej Kawiak, Lukasz Kwasniewicz, Piotr Schneider, Filip Postepski, Anna Gajos-Balinska

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 7 8%
Researcher 5 5%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 14 15%
Unknown 40 44%
Readers by discipline Count As %
Psychology 11 12%
Neuroscience 10 11%
Computer Science 4 4%
Unspecified 4 4%
Engineering 4 4%
Other 14 15%
Unknown 44 48%
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 11 December 2019.
All research outputs
#12,946,523
of 23,175,240 outputs
Outputs from Frontiers in Neuroinformatics
#389
of 759 outputs
Outputs of similar age
#203,091
of 459,204 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 12 outputs
Altmetric has tracked 23,175,240 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 47th percentile – i.e., 47% 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 459,204 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 55% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.