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Mendeley readers
Title |
Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy
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Published in |
Frontiers in Psychology, November 2022
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DOI | 10.3389/fpsyg.2022.980778 |
Pubmed ID | |
Authors |
Ankita Singh, Shayok Chakraborty, Zhe He, Shubo Tian, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin R. Harrell, Walter R. Boot |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 14% |
Professor | 1 | 5% |
Other | 1 | 5% |
Lecturer | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 3 | 14% |
Unknown | 11 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 2 | 10% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Environmental Science | 1 | 5% |
Other | 4 | 19% |
Unknown | 11 | 52% |