Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19427, first published .
Public Interest in Acne on the Internet: Comparison of Search Information From Google Trends and Naver

Public Interest in Acne on the Internet: Comparison of Search Information From Google Trends and Naver

Public Interest in Acne on the Internet: Comparison of Search Information From Google Trends and Naver

Journals

  1. Ottwell R, Hartwell M, Beswick T, Rogers T, Ivy H, Goodman M, Vassar M. Public Interest in a Potentially Harmful, Non–Evidence-Based “Wellness” Practice: Cross-Sectional Analysis of Perineum Sunning. JMIR Dermatology 2021;4(1):e24124 View
  2. Troiano G, Nardi A. Instagrammers’ attitude towards Human Papillomavirus (HPV) vaccine: A review. Journal of Human Behavior in the Social Environment 2022;32(2):274 View
  3. Wang P, Xu Q, Cao R, Deng F, Lei S. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e25422 View
  4. Sycinska-Dziarnowska M, Paradowska-Stankiewicz I, Woźniak K. The Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID-19. Real-Time Surveillance Using Google Trends. International Journal of Environmental Research and Public Health 2021;18(15):7841 View
  5. Park S, Jeon J, Ahn H, Yang Y, So W. Big Data Analysis of the Key Attributes Related to Stress and Mental Health in Korean Taekwondo Student Athletes. Sustainability 2022;14(1):477 View
  6. Mao Y, Wang P, Wang X, Ye D. Global Public Interest and Seasonal Variations in Alzheimer's Disease: Evidence From Google Trends. Frontiers in Medicine 2021;8 View
  7. Adah R, Yusufu H, Otene Q. Epidemiology and Perception of Acne Among Adolescents in Jos, Nigeria: Cross-Sectional School-Based Study. JMIR Dermatology 2023;6:e44441 View
  8. Li K, Hsu J, Li M. Evaluation of ChatGPT's acne advice. Clinical and Experimental Dermatology 2024;49(7):746 View
  9. Park S. Derivation of Key Attributes and Clusters of Korean Taekwondo Policies and Systems on Social Media: Comparative Big Data Analysis Based on Regime Change. Sage Open 2024;14(2) View