Published on in Vol 7, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14657, first published .
Response Time as an Implicit Self-Schema Indicator for Depression Among Undergraduate Students: Preliminary Findings From a Mobile App–Based Depression Assessment

Response Time as an Implicit Self-Schema Indicator for Depression Among Undergraduate Students: Preliminary Findings From a Mobile App–Based Depression Assessment

Response Time as an Implicit Self-Schema Indicator for Depression Among Undergraduate Students: Preliminary Findings From a Mobile App–Based Depression Assessment

Journals

  1. Kim B, Kwon K, Hwang S, Ryoo H, Chung U, Lee S, Lee J, Park H, Shin J, Bae S. Psychological Effects of COVID-19 Patient Management Experience among Paramedics and Emergency Medical Technicians: A Nationwide Survey in Korea. Infection & Chemotherapy 2022;54(2):316 View
  2. Choudhury A, Kuehn A, Shamszare H, Shahsavar Y. Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review. Healthcare 2023;11(2):272 View
  3. Leong Q, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. Journal of Medical Internet Research 2022;24(2):e27388 View
  4. Moulaei K, Bahaadinbeigy K, Mashoof E, Dinari F. Design and development of a mobile-based self-care application for patients with depression and anxiety disorders. BMC Medical Informatics and Decision Making 2023;23(1) View
  5. Bera S, Bhattacharya S. Exploring the importance of mobile app attributes based on consumers' voices using structured and unstructured data. IIM Ranchi Journal of Management Studies 2024;3(1):4 View