The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry
|
|---|---|
| Published in |
Frontiers in Neurology, April 2024
|
| DOI | 10.3389/fneur.2024.1363190 |
| Pubmed ID | |
| Authors |
Aleksander Bogucki, Ivo John, Łukasz Zinkiewicz, Michał Jachura, Damian Jaworski, Karolina Suwała, Hugo Chrost, Michal Wlodarski, Jakub Kałużny, Doug Campbell, Paul Bakken, Shawna Pandya, Radosław Chrapkiewicz, Sanjay G. Manohar |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 50% |
| Other | 1 | 7% |
| Librarian | 1 | 7% |
| Researcher | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 50% |
| Medicine and Dentistry | 2 | 14% |
| Neuroscience | 1 | 7% |
| Unknown | 4 | 29% |