The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces
|
|---|---|
| Published in |
Frontiers in Neuroscience, July 2020
|
| DOI | 10.3389/fnins.2020.00709 |
| Pubmed ID | |
| Authors |
Mina Sadeghi Najafabadi, Longtu Chen, Kelsey Dutta, Ashley Norris, Bin Feng, Jan W. H. Schnupp, Nicole Rosskothen-Kuhl, Heather L. Read, Monty A. Escabí |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Professor > Associate Professor | 3 | 7% |
| Other | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 29% |
| Neuroscience | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Computer Science | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 19 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 July 2020.
All research outputs
#3,417,658
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,705
of 11,543 outputs
Outputs of similar age
#86,345
of 413,492 outputs
Outputs of similar age from Frontiers in Neuroscience
#266
of 382 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 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 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 413,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.