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An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, December 2021
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1 X user

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24 Mendeley
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Title
An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study
Published in
Journal of NeuroEngineering and Rehabilitation, December 2021
DOI 10.1186/s12984-021-00972-7
Pubmed ID
Authors

Ga-Young Choi, Chang-Hee Han, Hyung-Tak Lee, Nam-Jong Paik, Won-Seok Kim, Han-Jeong Hwang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Other 2 8%
Student > Master 2 8%
Student > Bachelor 2 8%
Lecturer 1 4%
Other 3 13%
Unknown 9 38%
Readers by discipline Count As %
Nursing and Health Professions 3 13%
Medicine and Dentistry 2 8%
Social Sciences 2 8%
Computer Science 1 4%
Psychology 1 4%
Other 5 21%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2021.
All research outputs
#20,200,306
of 24,833,726 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,071
of 1,383 outputs
Outputs of similar age
#381,848
of 512,376 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#22
of 26 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,383 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 10th percentile – i.e., 10% 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 512,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.