skipTrack: An R package for Identifying Skips inSelf-Tracked Mobile Menstrual Cycle Data

Mobile apps that allow users to self-track menstrual cycle lengths and symptoms are now widely available and frequently used (Fox & Duggan, 2010).Multiple studies (consider (Bull et al.,

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-09-16
DOI
https://doi.org/10.21105/joss.06928
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

skipTrack: An R package for Identifying Skips inSelf-Tracked Mobile Menstrual Cycle Data

Luke Duttweiler, Brent A. Coull, Shruthi Mahalingaiah
The Journal of Open Source Software
Mobile Health and mHealth Applications
article

skipTrack: An R package for Identifying Skips inSelf-Tracked Mobile Menstrual Cycle Data

Luke Duttweiler, Brent A. Coull, Shruthi Mahalingaiah
article en

Abstract

Mobile apps that allow users to self-track menstrual cycle lengths and symptoms are now widely available and frequently used (Fox & Duggan, 2010).Multiple studies (consider (Bull et al.,

The Journal of Open Source SoftwareVol. 9(101)
National Institutes of Health, National Institute of Environmental Health Sciences
Openalex Percentile: Top 72%
Mobile Health and mHealth Applications
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skipTrack: An R package for Identifying Skips inSelf-Tracked Mobile Menstrual Cycle Data — Luke Duttweiler, Brent A. Coull, et al. · The Journal of Open Source Software (2024) | TGRS Research Map | TGRS