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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors influencing social and health outcomes after motor vehicle crash injury: an inception cohort study protocol
|
|---|---|
| Published in |
BMC Public Health, February 2014
|
| DOI | 10.1186/1471-2458-14-199 |
| Pubmed ID | |
| Authors |
Jagnoor Jagnoor, Fiona Blyth, Belinda Gabbe, Sarah Derrett, Soufiane Boufous, Michael Dinh, Robert Day, Gregory Button, Mark Gillett, Tony Joseph, Michael Nicholas, Rebecca Ivers, Chris G Maher, Simon Willcock, Justin Kenardy, Alex Collie, Ian D Cameron |
| Abstract |
There is growing evidence that health and social outcomes following motor vehicle crash injury are related to cognitive and emotional responses of the injured individual, as well as relationships between the injured individual and the compensation systems with which they interact. As most of this evidence comes from other states in Australia or overseas, investigation is therefore warranted to identify the key determinants of health and social outcomes following injury in the context of the New South Wales motor accident insurance scheme. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Uruguay | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| United States | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 76 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 13% |
| Student > Master | 8 | 10% |
| Researcher | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Professor | 4 | 5% |
| Other | 21 | 27% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 27% |
| Psychology | 7 | 9% |
| Social Sciences | 7 | 9% |
| Nursing and Health Professions | 4 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 12 | 15% |
| Unknown | 26 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 August 2014.
All research outputs
#14,073,002
of 24,241,559 outputs
Outputs from BMC Public Health
#9,858
of 15,983 outputs
Outputs of similar age
#110,673
of 225,703 outputs
Outputs of similar age from BMC Public Health
#165
of 278 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,983 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 37th percentile – i.e., 37% 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 225,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.