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Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry

Overview of attention for article published in Frontiers in Neurology, April 2024
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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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 47%
Student > Bachelor 1 7%
Other 1 7%
Librarian 1 7%
Researcher 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Unspecified 7 47%
Medicine and Dentistry 2 13%
Neuroscience 1 7%
Nursing and Health Professions 1 7%
Unknown 4 27%