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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
|
---|---|
Published in |
Frontiers in Human Neuroscience, December 2022
|
DOI | 10.3389/fnhum.2022.1032724 |
Pubmed ID | |
Authors |
Chatrin Phunruangsakao, David Achanccaray, Shin-Ichi Izumi, Mitsuhiro Hayashibe |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Switzerland | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 27% |
Unspecified | 1 | 9% |
Unknown | 7 | 64% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 9% |
Business, Management and Accounting | 1 | 9% |
Neuroscience | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 7 | 64% |
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 24 December 2022.
All research outputs
#13,632,622
of 23,931,222 outputs
Outputs from Frontiers in Human Neuroscience
#3,706
of 7,393 outputs
Outputs of similar age
#165,689
of 444,239 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#42
of 147 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 48th percentile – i.e., 48% 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 444,239 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 62% of its contemporaries.
We're also able to compare this research output to 147 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 69% of its contemporaries.