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Closed-Loop Phase-Dependent Vibration Stimulation Improves Motor Imagery-Based Brain-Computer Interface Performance

Overview of attention for article published in Frontiers in Neuroscience, January 2021
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Closed-Loop Phase-Dependent Vibration Stimulation Improves Motor Imagery-Based Brain-Computer Interface Performance
Published in
Frontiers in Neuroscience, January 2021
DOI 10.3389/fnins.2021.638638
Pubmed ID
Authors

Wenbin Zhang, Aiguo Song, Hong Zeng, Baoguo Xu, Minmin Miao

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Researcher 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 16 46%
Readers by discipline Count As %
Neuroscience 6 17%
Computer Science 4 11%
Engineering 4 11%
Psychology 2 6%
Sports and Recreations 1 3%
Other 1 3%
Unknown 17 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 February 2021.
All research outputs
#3,224,758
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,322
of 11,543 outputs
Outputs of similar age
#87,308
of 525,858 outputs
Outputs of similar age from Frontiers in Neuroscience
#189
of 394 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 79% 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 525,858 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 83% of its contemporaries.
We're also able to compare this research output to 394 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.