The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Attention Score in Context
Title |
A Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent
|
---|---|
Published in |
Frontiers in Neuroscience, October 2018
|
DOI | 10.3389/fnins.2018.00763 |
Pubmed ID | |
Authors |
Nicholas D. Skomrock, Michael A. Schwemmer, Jordyn E. Ting, Hemang R. Trivedi, Gaurav Sharma, Marcia A. Bockbrader, David A. Friedenberg |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 18% |
Professor > Associate Professor | 4 | 8% |
Student > Bachelor | 4 | 8% |
Other | 3 | 6% |
Student > Master | 3 | 6% |
Other | 9 | 18% |
Unknown | 19 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 20% |
Neuroscience | 5 | 10% |
Medicine and Dentistry | 3 | 6% |
Computer Science | 2 | 4% |
Physics and Astronomy | 1 | 2% |
Other | 3 | 6% |
Unknown | 27 | 53% |
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 12 September 2023.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#5,437
of 11,542 outputs
Outputs of similar age
#144,600
of 361,740 outputs
Outputs of similar age from Frontiers in Neuroscience
#121
of 266 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 51% 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 361,740 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 52% of its contemporaries.
We're also able to compare this research output to 266 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 53% of its contemporaries.