| Title |
Decomposing Indigenous life expectancy gap by risk factors: a life table analysis
|
|---|---|
| Published in |
Population Health Metrics, January 2013
|
| DOI | 10.1186/1478-7954-11-1 |
| Pubmed ID | |
| Authors |
Yuejen Zhao, Jo Wright, Stephen Begg, Steven Guthridge |
| Abstract |
The estimated gap in life expectancy (LE) between Indigenous and non-Indigenous Australians was 12 years for men and 10 years for women, whereas the Northern Territory Indigenous LE gap was at least 50% greater than the national figures. This study aims to explain the Indigenous LE gap by common modifiable risk factors. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United Kingdom | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 5% |
| Spain | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 15% |
| Student > Master | 10 | 12% |
| Researcher | 9 | 10% |
| Student > Ph. D. Student | 8 | 9% |
| Other | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 27 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 23% |
| Nursing and Health Professions | 7 | 8% |
| Social Sciences | 7 | 8% |
| Agricultural and Biological Sciences | 4 | 5% |
| Psychology | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 33 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 01 January 2022.
All research outputs
#1,110,217
of 24,032,151 outputs
Outputs from Population Health Metrics
#29
of 397 outputs
Outputs of similar age
#10,135
of 290,003 outputs
Outputs of similar age from Population Health Metrics
#2
of 4 outputs
Altmetric has tracked 24,032,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 92% of its peers.
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 290,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.