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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, March 2020
|
DOI | 10.3389/fbioe.2020.00158 |
Pubmed ID | |
Authors |
Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin, Erik Scheme |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Malta | 1 | 25% |
Canada | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 111 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 19% |
Student > Master | 16 | 14% |
Researcher | 9 | 8% |
Professor > Associate Professor | 7 | 6% |
Lecturer | 5 | 5% |
Other | 16 | 14% |
Unknown | 37 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 41 | 37% |
Computer Science | 15 | 14% |
Neuroscience | 4 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Psychology | 1 | <1% |
Other | 3 | 3% |
Unknown | 45 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 October 2021.
All research outputs
#15,179,141
of 25,387,668 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,014
of 8,509 outputs
Outputs of similar age
#199,838
of 384,883 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#161
of 334 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,509 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 384,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 334 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 51% of its contemporaries.