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Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton

Overview of attention for article published in Frontiers in Neuroscience, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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8 X users

Citations

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23 Dimensions

Readers on

mendeley
85 Mendeley
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Title
Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton
Published in
Frontiers in Neuroscience, October 2018
DOI 10.3389/fnins.2018.00757
Pubmed ID
Authors

Marisol Rodríguez-Ugarte, Eduardo Iáñez, Mario Ortiz, Jose M. Azorín

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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Bachelor 9 11%
Researcher 7 8%
Student > Ph. D. Student 6 7%
Student > Postgraduate 4 5%
Other 7 8%
Unknown 38 45%
Readers by discipline Count As %
Engineering 12 14%
Neuroscience 9 11%
Nursing and Health Professions 8 9%
Medicine and Dentistry 4 5%
Psychology 2 2%
Other 8 9%
Unknown 42 49%
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 06 November 2018.
All research outputs
#6,357,358
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#4,229
of 11,542 outputs
Outputs of similar age
#107,145
of 362,260 outputs
Outputs of similar age from Frontiers in Neuroscience
#81
of 266 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,542 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 gotten more attention than average, scoring higher than 63% 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 362,260 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 70% of its contemporaries.
We're also able to compare this research output to 266 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 69% of its contemporaries.