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Mendeley readers
| Title |
Mental health-related communication in a virtual community: text mining analysis of a digital exchange platform during the Covid-19 pandemic
|
|---|---|
| Published in |
BMC Psychiatry, June 2022
|
| DOI | 10.1186/s12888-022-04080-1 |
| Pubmed ID | |
| Authors |
C. Golz, D. Richter, N. Sprecher, C. Gurtner |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 11% |
| Lecturer | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 23 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 11% |
| Nursing and Health Professions | 3 | 8% |
| Computer Science | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 22 | 59% |