Crime and Schizophrenia
By S. Wessely, D. Castle, P. Taylor. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Amir Rasouli
- Iuliia Kotseruba
- John K. Tsotsos
- Toni Kunic
- A. Jha
- David Doolan
- Luca Rossi
- Maritza L. Johnson
Citations in the corpus
- It's the way you check-in: identifying users in location-based social networks (2014, background): “However, a great deal of research has highlighted the dangers of exposing personal location information [2, 5, 20].”
- PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction (2019, methodology): “Action (or behavior) prediction algorithms may take different forms such as generating future frames [20, 19, 24, 6], predicting the type of action [15, 21, 7], measuring confidence in the occurrence of an event [27, 37, 10], and forecasting the motion of objects [25, 40, 43, 1, 17, 5, 8].”
- Facebook and privacy: it's complicated (2012, background): “Our sample’s average friend network size was 357 friends (median = 291, range = [22, 3280], σ = 319 .”
- The use of health information technology in seven nations (2008, background): “Despite the challenges associated with EHR adoption [8], heir potential benefits have lead to substantial interest on the art of policy makers to speed up adoption and use across the lobe.”
- Assessment of strength and willingness to fight during aggressive encounters in crickets (2001, background): “There are many examples where direct assessment has been shown (e.g. Andersson 1976; Davies & Halliday 1978; Clutton-Brock & Albon 1979; Turner & Huntingford 1986).”