Cita APA (7a ed.)
Bőthe, B., Vaillancourt-Morel, M., Bergeron, S., Hermann, Z., Ivaskevics, K., Kraus, S. W., & Grubbs, J. B. (2024). Uncovering the Most Robust Predictors of Problematic Pornography Use: A Large-Scale Machine Learning Study Across 16 Countries. Journal of Psychopathology & Clinical Science, 133(6), 489-503.
Cita Chicago Style (17a ed.)
Bőthe, Beáta, Marie-Pier Vaillancourt-Morel, Sophie Bergeron, Zsombor Hermann, Krisztián Ivaskevics, Shane W. Kraus, y Joshua B. Grubbs. "Uncovering the Most Robust Predictors of Problematic Pornography Use: A Large-Scale Machine Learning Study Across 16 Countries." Journal of Psychopathology & Clinical Science 133, no. 6 (2024): 489-503.
Cita MLA (9a ed.)
Bőthe, Beáta, et al. "Uncovering the Most Robust Predictors of Problematic Pornography Use: A Large-Scale Machine Learning Study Across 16 Countries." Journal of Psychopathology & Clinical Science, vol. 133, no. 6, 2024, pp. 489-503.
Precaución: Estas citas no son 100% exactas.