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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Media reporting of traffic legislation changes in British Columbia (2010)
|
|---|---|
| Published in |
Accident Analysis & Prevention, June 2015
|
| DOI | 10.1016/j.aap.2015.05.022 |
| Pubmed ID | |
| Authors |
Jeffrey R. Brubacher, Ediweera Desapriya, Herbert Chan, Yamesha Ranatunga, Rahana Harjee, Shannon Erdelyi, Mark Asbridge, Roy Purssell, Ian Pike |
| Abstract |
In 2010, British Columbia (BC) introduced new traffic laws designed to deter impaired driving, speeding, and distracted driving. These laws generated significant media attention and were associated with reductions in fatal crashes and in ambulance calls and hospital admissions for road trauma. To understand the extent and type of media coverage of the new traffic laws and to identify how the laws were framed by the media. We reviewed a database of injury related news coverage (May 2010-December 2012) and extracted reports that mentioned distracted driving, impaired driving, or speeding. Articles were classified according to: (i) Type, (ii) Issue discussed, (iii) 'Reference to new laws', and (iv) 'Pro/anti traffic law'. Articles mentioning the new laws were reread and common themes in how the laws were framed were identified and discussed. Over the course of the study, 1848 articles mentioned distraction, impairment, or speeding and 597 reports mentioned the new laws: 65 against, 227 neutral, and 305 supportive. Reports against the new laws framed them as unfair or as causing economic damage to the entertainment industry. Reports in favor of the new laws framed them in terms of preventing impaired driving and related trauma or of bringing justice to drinking drivers. Growing evidence of the effectiveness of the new laws generated media support. BC's new traffic laws generated considerable media attention both pro and con. We believe that this media attention helped inform the public of the new laws and enhanced their deterrent effect. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 80% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 31% |
| Student > Ph. D. Student | 9 | 16% |
| Lecturer | 4 | 7% |
| Other | 3 | 5% |
| Researcher | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 20% |
| Medicine and Dentistry | 11 | 20% |
| Social Sciences | 7 | 13% |
| Nursing and Health Professions | 5 | 9% |
| Psychology | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 29 June 2022.
All research outputs
#3,106,273
of 25,371,288 outputs
Outputs from Accident Analysis & Prevention
#592
of 4,178 outputs
Outputs of similar age
#37,847
of 277,746 outputs
Outputs of similar age from Accident Analysis & Prevention
#10
of 72 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 85% 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 277,746 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.