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X Demographics
Mendeley readers
| Title |
Benchmarking framework for machine learning classification from fNIRS data
|
|---|---|
| Published in |
Frontiers in Neuroergonomics, March 2023
|
| DOI | 10.3389/fnrgo.2023.994969 |
| Pubmed ID | |
| Authors |
Johann Benerradi, Jeremie Clos, Aleksandra Landowska, Michel F. Valstar, Max L. Wilson |
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 Kingdom | 7 | 78% |
| Switzerland | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Members of the public | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 30% |
| Researcher | 1 | 10% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 20% |
| Physics and Astronomy | 1 | 10% |
| Neuroscience | 1 | 10% |
| Engineering | 1 | 10% |
| Unknown | 5 | 50% |