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A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints

Overview of attention for article published in Frontiers in Neurorobotics, November 2018
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1 X user

Citations

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44 Dimensions

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108 Mendeley
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Title
A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints
Published in
Frontiers in Neurorobotics, November 2018
DOI 10.3389/fnbot.2018.00074
Pubmed ID
Authors

Domenico Buongiorno, Michele Barsotti, Francesco Barone, Vitoantonio Bevilacqua, Antonio Frisoli

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

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Student > Master 17 16%
Student > Doctoral Student 8 7%
Student > Bachelor 7 6%
Researcher 7 6%
Other 15 14%
Unknown 31 29%
Readers by discipline Count As %
Engineering 48 44%
Computer Science 10 9%
Medicine and Dentistry 4 4%
Sports and Recreations 3 3%
Neuroscience 2 2%
Other 7 6%
Unknown 34 31%
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 13 November 2018.
All research outputs
#20,540,789
of 23,112,054 outputs
Outputs from Frontiers in Neurorobotics
#703
of 887 outputs
Outputs of similar age
#299,522
of 343,833 outputs
Outputs of similar age from Frontiers in Neurorobotics
#20
of 24 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 887 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 343,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.