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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhanced Accuracy for Multiclass Mental Workload Detection Using Long Short-Term Memory for Brain–Computer Interface
|
|---|---|
| Published in |
Frontiers in Neuroscience, June 2020
|
| DOI | 10.3389/fnins.2020.00584 |
| Pubmed ID | |
| Authors |
Umer Asgher, Khurram Khalil, Muhammad Jawad Khan, Riaz Ahmad, Shahid Ikramullah Butt, Yasar Ayaz, Noman Naseer, Salman Nazir |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 2 | 29% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 11% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Researcher | 6 | 8% |
| Lecturer | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 34 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 29% |
| Computer Science | 8 | 10% |
| Neuroscience | 4 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 34 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 09 February 2021.
All research outputs
#2,635,491
of 25,563,770 outputs
Outputs from Frontiers in Neuroscience
#1,638
of 11,619 outputs
Outputs of similar age
#71,650
of 435,245 outputs
Outputs of similar age from Frontiers in Neuroscience
#123
of 372 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,619 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 85% 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 435,245 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 83% of its contemporaries.
We're also able to compare this research output to 372 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 66% of its contemporaries.