Published on in Vol 9 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/43609, first published
.
![Scanxiety Conversations on Twitter: Observational Study Scanxiety Conversations on Twitter: Observational Study](https://asset.jmir.pub/assets/ceff8ae000e37a0e470b0c83693d3a30.png 480w,https://asset.jmir.pub/assets/ceff8ae000e37a0e470b0c83693d3a30.png 960w,https://asset.jmir.pub/assets/ceff8ae000e37a0e470b0c83693d3a30.png 1920w,https://asset.jmir.pub/assets/ceff8ae000e37a0e470b0c83693d3a30.png 2500w)
Journals
- Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
- Hussain M, Chau S, Turner M, Paterson C. Scan-Associated Distress in People Affected by Cancer: A Qualitative Systematic Review. Seminars in Oncology Nursing 2023;39(5):151502 View
- Karakatsanis A, Masannat Y. Keeping a Breast with Social Media: “Le Marteau Sans Maître?”. Breast Care 2023;18(3):179 View
- García Santos J, Plasencia Martínez J. Scanxiety: potential lessons for personalized radiology. European Radiology 2024 View