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Cancers in Australia in 2010 attributable to modifiable factors: introduction and overview

Overview of attention for article published in Australian and New Zealand Journal of Public Health, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
6 X users

Citations

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37 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Cancers in Australia in 2010 attributable to modifiable factors: introduction and overview
Published in
Australian and New Zealand Journal of Public Health, October 2015
DOI 10.1111/1753-6405.12468
Pubmed ID
Authors

David C Whiteman, Penelope M Webb, Adele C Green, Rachel E Neale, Lin Fritschi, Christopher J Bain, D Max Parkin, Louise F Wilson, Catherine M Olsen, Christina M Nagle, Nirmala Pandeya, Susan J Jordan, Annika Antonsson, Bradley J Kendall, Maria Celia B Hughes, Torukiri I Ibiebele, Kyoko Miura, Susan Peters, Renee N Carey

Abstract

To describe the approach underpinning a national project to estimate the numbers and proportions of cancers occurring in Australia in 2010 that are attributable to modifiable causal factors. We estimated the population attributable fraction (PAF) (or prevented fraction) of cancers associated with exposure to causal (or preventive) factors using standard formulae. Where possible, we also estimated the potential impact on cancer incidence resulting from changes in prevalence of exposure. Analyses were restricted to factors declared causal by international agencies: tobacco smoke; alcohol; solar radiation; infectious agents; obesity; insufficient physical activity; insufficient intakes of fruits, vegetables and fibre; red and processed meat; menopausal hormone therapy (MHT); oral contraceptive pill (OCP); and insufficient breast feeding. Separately, we estimated numbers of cancers prevented by: aspirin; sunscreen; MHT; and OCP use. We discuss assumptions pertaining to latent periods between exposure and cancer onset, choices of prevalence data and risk estimates, and approaches to sensitivity analyses. Numbers and population attributable fractions of cancer are presented in accompanying papers. This is the first systematic assessment of population attributable fractions of cancer in Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Australia 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Bachelor 14 12%
Student > Ph. D. Student 12 11%
Student > Master 10 9%
Student > Doctoral Student 8 7%
Other 24 21%
Unknown 26 23%
Readers by discipline Count As %
Medicine and Dentistry 35 31%
Nursing and Health Professions 10 9%
Agricultural and Biological Sciences 9 8%
Biochemistry, Genetics and Molecular Biology 6 5%
Social Sciences 4 4%
Other 16 14%
Unknown 33 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 12 December 2021.
All research outputs
#1,560,115
of 25,371,288 outputs
Outputs from Australian and New Zealand Journal of Public Health
#307
of 1,909 outputs
Outputs of similar age
#22,115
of 289,746 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#12
of 38 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 83% 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 289,746 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 92% of its contemporaries.
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 has gotten more attention than average, scoring higher than 68% of its contemporaries.