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Attention Score in Context
| Title |
Are road traffic crash fatality rates converging among OECD countries?
|
|---|---|
| Published in |
Accident Analysis & Prevention, January 2013
|
| DOI | 10.1016/j.aap.2012.12.011 |
| Pubmed ID | |
| Authors |
Hong Son Nghiem, Luke B. Connelly, Susan Gargett |
| Abstract |
This article examines the trends of road traffic crash (RTC) fatality rates in OECD countries over the past four decades. Based on recent developments in the economic growth literature we propose and test the hypothesis that RTC fatality rates initially increase with economic development, peak, and then gradually decrease. The theory predicts that, as a result, the RTC fatality rates of different countries will tend to converge over time. Our results for the period 1961-2007 reveal no evidence of the convergence of RTC fatality rates across the OECD as a whole for that time period. Nevertheless, there is evidence of convergence among sub-groups of countries. This evidence may assist policymakers as an additional way of benchmarking their country's performance against that of its peers and to identify the next-closest peer in country sub-groups with superior road safety performance. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 6 | 15% |
| Student > Postgraduate | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 27% |
| Economics, Econometrics and Finance | 6 | 15% |
| Psychology | 4 | 10% |
| Social Sciences | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |
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 11 August 2013.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Accident Analysis & Prevention
#3,147
of 4,178 outputs
Outputs of similar age
#231,335
of 292,501 outputs
Outputs of similar age from Accident Analysis & Prevention
#58
of 111 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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 is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.