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X Demographics
Mendeley readers
| Title |
Cyclist–Motorist Crash Patterns in Denmark: A Latent Class Clustering Approach
|
|---|---|
| Published in |
Traffic Injury Prevention, August 2013
|
| DOI | 10.1080/15389588.2012.759654 |
| Pubmed ID | |
| Authors |
Sigal Kaplan, Carlo Giacomo Prato |
| Abstract |
The current study aimed at uncovering patterns of cyclist-motorist crashes in Denmark and investigating their prevalence and severity. The importance of implementing clustering techniques for providing a holistic overview of vulnerable road users' crash patterns derives from the need to prioritize safety issues and to devise efficient preventive measures. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 126 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 25% |
| Student > Ph. D. Student | 22 | 17% |
| Researcher | 16 | 12% |
| Professor | 6 | 5% |
| Other | 4 | 3% |
| Other | 16 | 12% |
| Unknown | 33 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 38 | 29% |
| Medicine and Dentistry | 17 | 13% |
| Environmental Science | 6 | 5% |
| Economics, Econometrics and Finance | 5 | 4% |
| Computer Science | 4 | 3% |
| Other | 19 | 15% |
| Unknown | 40 | 31% |