Published on in Vol 5 (2024)
Preprints (earlier versions) of this paper are
available at
https://arxiv.org/abs/2304.10512v1, first published
.
Journals
- . Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58321 View
- Subramaniyan V. Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58317 View
- Lokala U, Phukan O, Dastidar T, Lamy F, Daniulaityte R, Sheth A. Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e57838 View
- . Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58320 View
- Choi G, Pyun M, Yoon S, Kim Y, Shin H, Lee S. Exploring the relationship between YouTube video characteristics and a viewer’s mental health traits among young adults. Frontiers in Psychiatry 2024;15 View
- Sacco M, Gualtieri S, Tarallo A, Tarda L, Verrina M, Costa A, Aquila I. A Review of the Literature on Episodes of Acute Fentanyl Intoxication in Pediatric Age and Toxicological Applications. Toxics 2024;12(8):534 View