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Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study

Overview of attention for article published in BMC Medical Research Methodology, May 2020
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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

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

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%
Other 2 4%
Other 6 13%
Unknown 18 40%
Readers by discipline Count As %
Psychology 11 24%
Social Sciences 4 9%
Medicine and Dentistry 3 7%
Business, Management and Accounting 2 4%
Unspecified 2 4%
Other 4 9%
Unknown 19 42%