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X Demographics
Mendeley readers
Attention Score in Context
Title |
Population based case–control study of serious non-fatal motorcycle crashes
|
---|---|
Published in |
BMC Public Health, January 2013
|
DOI | 10.1186/1471-2458-13-72 |
Pubmed ID | |
Authors |
Lesley Day, Michael G Lenné, Mark Symmons, Peter Hillard, Stuart Newstead, Trevor Allen, Rod McClure |
Abstract |
Motorcycle sales, registration and use are increasing in many countries. The epidemiological literature on risk factors for motorcycle injury is becoming outdated, due to changes in rider demography, licensing regulations, traffic mix and density, road environments, and motorcycle designs and technologies. Further, the potential contribution of road infrastructure and travel speed has not yet been examined. |
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 States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
Australia | 1 | 2% |
Unknown | 52 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 17% |
Researcher | 8 | 15% |
Student > Ph. D. Student | 6 | 11% |
Student > Postgraduate | 4 | 7% |
Lecturer | 4 | 7% |
Other | 16 | 30% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 17 | 31% |
Medicine and Dentistry | 12 | 22% |
Nursing and Health Professions | 4 | 7% |
Psychology | 4 | 7% |
Mathematics | 1 | 2% |
Other | 5 | 9% |
Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 January 2013.
All research outputs
#14,742,867
of 22,693,205 outputs
Outputs from BMC Public Health
#10,821
of 14,767 outputs
Outputs of similar age
#174,628
of 280,879 outputs
Outputs of similar age from BMC Public Health
#209
of 273 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,767 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% 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 280,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.