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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, July 2022
|
| DOI | 10.3389/fnhum.2022.949224 |
| Pubmed ID | |
| Authors |
Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uros Marusic, Fakhreddine Ghaffari, Olivier Romain, Romain Meeusen, Kevin De Pauw |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 20% |
| United States | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Researcher | 3 | 12% |
| Unspecified | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 15% |
| Medicine and Dentistry | 3 | 12% |
| Unspecified | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
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 25 August 2022.
All research outputs
#6,205,673
of 25,331,507 outputs
Outputs from Frontiers in Human Neuroscience
#2,323
of 7,661 outputs
Outputs of similar age
#108,589
of 428,677 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#37
of 204 outputs
Altmetric has tracked 25,331,507 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 7,661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 428,677 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 74% of its contemporaries.
We're also able to compare this research output to 204 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.