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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The health and cost implications of high body mass index in Australian defence force personnel
|
|---|---|
| Published in |
BMC Public Health, June 2012
|
| DOI | 10.1186/1471-2458-12-451 |
| Pubmed ID | |
| Authors |
Jonathan Peake, Susan Gargett, Michael Waller, Ruth McLaughlin, Tegan Cosgrove, Gary Wittert, Peter Nasveld, Peter Warfe |
| Abstract |
Frequent illness and injury among workers with high body mass index (BMI) can raise the costs of employee healthcare and reduce workforce maintenance and productivity. These issues are particularly important in vocational settings such as the military, which require good physical health, regular attendance and teamwork to operate efficiently. The purpose of this study was to compare the incidence of injury and illness, absenteeism, productivity, healthcare usage and administrative outcomes among Australian Defence Force personnel with varying BMI. |
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 % |
|---|---|---|
| Australia | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Chile | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Sports and Recreations | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Economics, Econometrics and Finance | 4 | 7% |
| Computer Science | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 26 | 45% |
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 19 June 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from BMC Public Health
#12,755
of 14,746 outputs
Outputs of similar age
#126,472
of 164,469 outputs
Outputs of similar age from BMC Public Health
#240
of 279 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,746 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 6th percentile – i.e., 6% 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 164,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.