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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sobriety Checkpoints in Thailand
|
|---|---|
| Published in |
Asia Pacific Journal of Public Health, December 2011
|
| DOI | 10.1177/1010539511430851 |
| Pubmed ID | |
| Authors |
Vallop Ditsuwan, J. Lennert Veerman, Melanie Bertram, Theo Vos |
| Abstract |
This review describes the legal basis for and implementation of sobriety checkpoints in Thailand and identifies factors that influenced their historical development and effectiveness. The first alcohol and traffic injury control law in Thailand was implemented in 1934. The 0.05 g/100 mL blood alcohol concentration limit was set in 1994. Currently, 3 types of sobriety checkpoints are used: general police checkpoints, selective breath testing, and special event sobriety checkpoints. The authors found few reports on the strategies, frequencies, and outcomes for any of these types of checkpoints, despite Thailand having devoted many resources to their implementation. In Thailand and other low-middle income countries, it is necessary to address the country-specific barriers to successful enforcement (including political and logistical issues, lack of equipment, and absence of other supportive alcohol harm reduction measures) before sobriety checkpoints can be expected to be as effective as reported in high-income countries. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 33% |
| Researcher | 6 | 25% |
| Student > Doctoral Student | 3 | 13% |
| Student > Master | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 38% |
| Nursing and Health Professions | 4 | 17% |
| Social Sciences | 3 | 13% |
| Economics, Econometrics and Finance | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from Asia Pacific Journal of Public Health
#668
of 750 outputs
Outputs of similar age
#220,590
of 243,301 outputs
Outputs of similar age from Asia Pacific Journal of Public Health
#16
of 17 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 750 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.