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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive evaluation methods for translating BCI into practical applications: usability, user satisfaction and usage of online BCI systems
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, June 2024
|
| DOI | 10.3389/fnhum.2024.1429130 |
| Pubmed ID | |
| Authors |
He Pan, Peng Ding, Fan Wang, Tianwen Li, Lei Zhao, Wenya Nan, Yunfa Fu, Anmin Gong |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| United Kingdom | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 June 2024.
All research outputs
#5,682,360
of 26,196,613 outputs
Outputs from Frontiers in Human Neuroscience
#2,335
of 7,805 outputs
Outputs of similar age
#49,961
of 222,689 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#7
of 37 outputs
Altmetric has tracked 26,196,613 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 69% 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 222,689 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 77% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.