↓ Skip to main content

Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface

Overview of attention for article published in Frontiers in Neurorobotics, July 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
Published in
Frontiers in Neurorobotics, July 2019
DOI 10.3389/fnbot.2019.00043
Pubmed ID
Authors

Waseem Shahzad, Yasar Ayaz, Muhammad Jawad Khan, Noman Naseer, Mushtaq Khan

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

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Bachelor 6 10%
Student > Master 6 10%
Professor 3 5%
Professor > Associate Professor 3 5%
Other 7 12%
Unknown 20 34%
Readers by discipline Count As %
Engineering 24 41%
Computer Science 5 8%
Neuroscience 2 3%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 22 37%
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 04 July 2019.
All research outputs
#20,574,742
of 23,151,828 outputs
Outputs from Frontiers in Neurorobotics
#704
of 890 outputs
Outputs of similar age
#296,132
of 348,403 outputs
Outputs of similar age from Frontiers in Neurorobotics
#29
of 39 outputs
Altmetric has tracked 23,151,828 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 890 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 348,403 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 39 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.