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Mendeley readers
Attention Score in Context
| Title |
Cancers in Australia in 2010 attributable to overweight and obesity
|
|---|---|
| Published in |
Australian and New Zealand Journal of Public Health, October 2015
|
| DOI | 10.1111/1753-6405.12458 |
| Pubmed ID | |
| Authors |
Bradley J Kendall, Louise F Wilson, Catherine M Olsen, Penelope M Webb, Rachel E Neale, Christopher J Bain, David C Whiteman |
| Abstract |
To estimate the proportion and number of cancers occurring in Australia in 2010 attributable to overweight/obesity. We estimated the population attributable fraction (PAF) and number of cancers causally associated with overweight/obesity. We used standard formulae incorporating Australian prevalence data for body mass index (BMI), relative risks associated with BMI and cancer. We also estimated the proportion change in cancer incidence (potential impact fraction [PIF]) that may have occurred assuming that the prevalence of overweight/obesity had remained at 1990 levels. An estimated 3,917 cancer cases (3.4% of all cancers) diagnosed in 2010 were attributable to overweight/obesity, including 1,101 colon cancers, 971 female post-menopausal breast cancers and 595 endometrial cancers (PAFs of 10%, 8% and 26%, respectively). Highest PAFs were observed for oesophageal adenocarcinoma (31%), endometrial cancer (26%) and kidney cancer (19%). If the prevalence of overweight/obesity in Australia had remained at levels prevailing in 1990, we estimate there would have been 820 fewer cancers diagnosed in 2010 (PIF 2%). Overweight/obesity causes a substantial number of cancers in Australia. Public health strategies to reduce the prevalence of overweight and obesity will reduce the incidence of cancer, particularly of the colon, breast and endometrium. |
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% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 25% |
| Student > Ph. D. Student | 8 | 15% |
| Researcher | 8 | 15% |
| Other | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 37% |
| Agricultural and Biological Sciences | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 8 | 15% |
| Unknown | 16 | 31% |
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 28 March 2016.
All research outputs
#16,722,913
of 25,374,917 outputs
Outputs from Australian and New Zealand Journal of Public Health
#1,656
of 1,909 outputs
Outputs of similar age
#164,281
of 289,752 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#31
of 38 outputs
Altmetric has tracked 25,374,917 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 1,909 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one is in the 12th percentile – i.e., 12% 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 289,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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.