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Mendeley readers
| Title |
Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2020
|
| DOI | 10.1186/s12874-020-00995-z |
| Pubmed ID | |
| Authors |
Philip Lindner, Magnus Johansson, Mikael Gajecki, Anne H. Berman |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Researcher | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 19 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 25% |
| Social Sciences | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 20 | 45% |