↓ Skip to main content

Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control

Overview of attention for article published in Frontiers in Robotics and AI, February 2024
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
29 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
Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control
Published in
Frontiers in Robotics and AI, February 2024
DOI 10.3389/frobt.2024.1312554
Pubmed ID
Authors

Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yağmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas Onal, Taşkın Padır, Deniz Erdoğmuş, Gunar Schirner

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Researcher 2 7%
Student > Postgraduate 2 7%
Other 1 3%
Lecturer 1 3%
Other 4 14%
Unknown 16 55%
Readers by discipline Count As %
Computer Science 4 14%
Engineering 4 14%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 18 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 February 2024.
All research outputs
#14,948,922
of 25,425,223 outputs
Outputs from Frontiers in Robotics and AI
#713
of 1,773 outputs
Outputs of similar age
#66,157
of 177,245 outputs
Outputs of similar age from Frontiers in Robotics and AI
#5
of 31 outputs
Altmetric has tracked 25,425,223 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 57% 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 177,245 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 61% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.