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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The effect of modifiable risk factors on geographic mortality differentials: a modelling study
|
|---|---|
| Published in |
BMC Public Health, January 2012
|
| DOI | 10.1186/1471-2458-12-79 |
| Pubmed ID | |
| Authors |
Christopher E Stevenson, Haider Mannan, Anna Peeters, Helen Walls, Dianna J Magliano, Jonathan E Shaw, John J McNeil |
| Abstract |
Australian mortality rates are higher in regional and remote areas than in major cities. The degree to which this is driven by variation in modifiable risk factors is unknown. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 4 | 12% |
| Student > Master | 4 | 12% |
| Student > Postgraduate | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 8 | 24% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Nursing and Health Professions | 6 | 18% |
| Social Sciences | 4 | 12% |
| Decision Sciences | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 7 | 21% |
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 11 October 2012.
All research outputs
#13,359,802
of 22,662,201 outputs
Outputs from BMC Public Health
#9,461
of 14,741 outputs
Outputs of similar age
#145,815
of 246,172 outputs
Outputs of similar age from BMC Public Health
#119
of 205 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,741 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 33rd percentile – i.e., 33% 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 246,172 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.