Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatment of mental disorders: a systematic review" The deposited archive includes a Dockerfile and an R Markdown notebook suitable for use with Binder: https://mybinder.org/v2/gh/cgranell/apps-treatment-mental-disorders/master?urlpath=rstudio The software repository in GitHub: https://github.com/cgranell/apps-treatment-mental-disorderThe documents in this repository are licensed under a Creative Commons Attribution 4.0 International License. All contained code is licensed under the Apache License 2.0. The data used is licensed under an Open Data Commons Attribution License
This is the accepted manuscript version of the work published in its final form as Omberg, L., Neto,...
Reproduction package for "Revisiting the reproducibility of empirical software engineering studies b...
Background: Universal access to assessment and treatment of mental health and learning disorders rem...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
Data and code for analysis, charts and tables used in the manuscript "Using Mobile Devices as Scient...
Data and code for analysis and plots used in the manuscript "Reproducible research and GIScience: an...
Data and code for analysis, charts and tables used in the manuscript "A scoping review on the use, p...
This repository is the reproducibility package for the journal paper "Implementing and evaluating th...
Data and code for research article Reproducible Research and GIScience: an evaluation using GIScienc...
R Notebook and datasets for the submitted paper Design and Development of a Smartphone-Based Geoloca...
Mental health clinicians perform complex tasks with patients that potentially could be improved by t...
Mobile phones are playing an increasingly important role in supporting mental health, by providing c...
A replication package including a manually analysed dataset of a random sample of 1,200 app reviews ...
Background: Smartphone apps are an increasingly popular means for delivering psychological intervent...
Background Chronic health conditions have a big impact on disability, morbidity, and mortality worl...
This is the accepted manuscript version of the work published in its final form as Omberg, L., Neto,...
Reproduction package for "Revisiting the reproducibility of empirical software engineering studies b...
Background: Universal access to assessment and treatment of mental health and learning disorders rem...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
Data and code for analysis, charts and tables used in the manuscript "Using Mobile Devices as Scient...
Data and code for analysis and plots used in the manuscript "Reproducible research and GIScience: an...
Data and code for analysis, charts and tables used in the manuscript "A scoping review on the use, p...
This repository is the reproducibility package for the journal paper "Implementing and evaluating th...
Data and code for research article Reproducible Research and GIScience: an evaluation using GIScienc...
R Notebook and datasets for the submitted paper Design and Development of a Smartphone-Based Geoloca...
Mental health clinicians perform complex tasks with patients that potentially could be improved by t...
Mobile phones are playing an increasingly important role in supporting mental health, by providing c...
A replication package including a manually analysed dataset of a random sample of 1,200 app reviews ...
Background: Smartphone apps are an increasingly popular means for delivering psychological intervent...
Background Chronic health conditions have a big impact on disability, morbidity, and mortality worl...
This is the accepted manuscript version of the work published in its final form as Omberg, L., Neto,...
Reproduction package for "Revisiting the reproducibility of empirical software engineering studies b...
Background: Universal access to assessment and treatment of mental health and learning disorders rem...