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Mendeley readers
| Title |
Can Big Data Be Used to Monitor the Mental Health Consequences of COVID-19?
|
|---|---|
| Published in |
International Journal of Public Health, April 2021
|
| DOI | 10.3389/ijph.2021.633451 |
| Pubmed ID | |
| Authors |
Nicola Julia Aebi, David De Ridder, Carlos Ochoa, Dusan Petrovic, Marta Fadda, Suzanne Elayan, Martin Sykora, Milo Puhan, John A. Naslund, Stephen J. Mooney, Oliver Gruebner |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 18% |
| Researcher | 3 | 11% |
| Lecturer | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 11% |
| Psychology | 2 | 7% |
| Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 15 | 54% |