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Attention Score in Context
| Title |
System theory and safety models in Swedish, UK, Dutch and Australian road safety strategies
|
|---|---|
| Published in |
Accident Analysis & Prevention, August 2014
|
| DOI | 10.1016/j.aap.2014.07.017 |
| Pubmed ID | |
| Authors |
B.P. Hughes, A. Anund, T. Falkmer |
| Abstract |
Road safety strategies represent interventions on a complex social technical system level. An understanding of a theoretical basis and description is required for strategies to be structured and developed. Road safety strategies are described as systems, but have not been related to the theory, principles and basis by which systems have been developed and analysed. Recently, road safety strategies, which have been employed for many years in different countries, have moved to a 'vision zero', or 'safe system' style. The aim of this study was to analyse the successful Swedish, United Kingdom and Dutch road safety strategies against the older, and newer, Australian road safety strategies, with respect to their foundations in system theory and safety models. Analysis of the strategies against these foundations could indicate potential improvements. The content of four modern cases of road safety strategy was compared against each other, reviewed against scientific systems theory and reviewed against types of safety model. The strategies contained substantial similarities, but were different in terms of fundamental constructs and principles, with limited theoretical basis. The results indicate that the modern strategies do not include essential aspects of systems theory that describe relationships and interdependencies between key components. The description of these strategies as systems is therefore not well founded and deserves further development. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| Chile | 1 | <1% |
| Norway | 1 | <1% |
| India | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 148 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 17% |
| Researcher | 21 | 14% |
| Student > Ph. D. Student | 17 | 11% |
| Student > Doctoral Student | 11 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 34 | 22% |
| Unknown | 35 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 51 | 33% |
| Social Sciences | 17 | 11% |
| Business, Management and Accounting | 10 | 6% |
| Environmental Science | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 23 | 15% |
| Unknown | 42 | 27% |
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 31 August 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Accident Analysis & Prevention
#2,806
of 4,178 outputs
Outputs of similar age
#144,191
of 241,594 outputs
Outputs of similar age from Accident Analysis & Prevention
#46
of 83 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 241,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.