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MATLAB Toolboxes for Reference Electrode Standardization Technique (REST) of Scalp EEG

Overview of attention for article published in Frontiers in Neuroscience, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
12 X users

Readers on

mendeley
129 Mendeley
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Title
MATLAB Toolboxes for Reference Electrode Standardization Technique (REST) of Scalp EEG
Published in
Frontiers in Neuroscience, October 2017
DOI 10.3389/fnins.2017.00601
Pubmed ID
Authors

Li Dong, Fali Li, Qiang Liu, Xin Wen, Yongxiu Lai, Peng Xu, Dezhong Yao

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Researcher 23 18%
Student > Master 20 16%
Student > Doctoral Student 6 5%
Student > Bachelor 6 5%
Other 17 13%
Unknown 29 22%
Readers by discipline Count As %
Neuroscience 28 22%
Engineering 22 17%
Psychology 19 15%
Medicine and Dentistry 8 6%
Agricultural and Biological Sciences 4 3%
Other 13 10%
Unknown 35 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 July 2024.
All research outputs
#2,246,285
of 26,449,643 outputs
Outputs from Frontiers in Neuroscience
#1,268
of 11,880 outputs
Outputs of similar age
#41,807
of 344,056 outputs
Outputs of similar age from Frontiers in Neuroscience
#27
of 192 outputs
Altmetric has tracked 26,449,643 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,880 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 89% 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 344,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.