The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Unspecified | 5 | 10% |
Researcher | 5 | 10% |
Student > Master | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 6 | 12% |
Unknown | 19 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 11 | 22% |
Unspecified | 5 | 10% |
Social Sciences | 4 | 8% |
Medicine and Dentistry | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Other | 4 | 8% |
Unknown | 20 | 41% |