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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Queensland Alcohol-related violence and Night Time Economy Monitoring project (QUANTEM): a study protocol
|
|---|---|
| Published in |
BMC Public Health, October 2017
|
| DOI | 10.1186/s12889-017-4811-9 |
| Pubmed ID | |
| Authors |
Peter G. Miller, Jason Ferris, Kerri Coomber, Renee Zahnow, Nicholas Carah, Heng Jiang, Kypros Kypri, Tanya Chikritzhs, Alan Clough, Michael Livingston, Dominique de Andrade, Robin Room, Sarah Callinan, Ashlee Curtis, Richelle Mayshak, Nicolas Droste, Belinda Lloyd, Sharon Matthews, Nicholas Taylor, Meredythe Crane, Michael Thorn, Jake Najman |
| Abstract |
Alcohol-related harm is a substantial burden on the community in Australia and internationally, particularly harm related to risky drinking practices of young people in the night-time economy. This protocol paper describes a study that will report on the changes in a wide range of health and justice outcome measures associated with major policy changes in the state of Queensland, Australia. A key element includes trading hours restrictions for licensed premises to 2 am for the state and 3 am in Safe Night Precincts (SNPs). Other measures introduced include drinks restrictions after midnight, increased patron banning measures for repeat offenders, mandatory ID scanning of patrons in late-night venues, and education campaigns. The primary aim of the study is to evaluate change in the levels of harm due to these policy changes using administrative data (e.g., police, hospital, ambulance, and court data). Other study elements will investigate the impact of the Policy by measuring foot traffic volume in SNPs, using ID scanner data to quantify the volume of people entering venues and measure the effectiveness of banning notices, using patron interviews to quantify the levels of pre-drinking, intoxication and illicit drug use within night-time economy districts, and to explore the impacts of the Policy on business and live music, and costs to the community. The information gathered through this project aims to evaluate the effectiveness of the Policy and to draw on these findings to inform future prevention and enforcement approaches by policy makers, police, and venue staff. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 7 | 35% |
| United States | 4 | 20% |
| United Kingdom | 2 | 10% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 3 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Lecturer | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 36 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 11% |
| Social Sciences | 8 | 10% |
| Psychology | 8 | 10% |
| Nursing and Health Professions | 5 | 6% |
| Mathematics | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 41 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 12 August 2019.
All research outputs
#599,327
of 23,321,213 outputs
Outputs from BMC Public Health
#572
of 15,208 outputs
Outputs of similar age
#13,883
of 323,738 outputs
Outputs of similar age from BMC Public Health
#9
of 145 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,738 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.