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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Readers on

mendeley
102 Mendeley
citeulike
1 CiteULike
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Article details
Title
The use and interpretation of anthropometric measures in cancer epidemiology: A perspective from the world cancer research fund international continuous update project
Published in
International Journal of Cancer, July 2016
DOI 10.1002/ijc.30248
Pubmed ID
Authors

Elisa V. Bandera, Stephanie H. Fay, Edward Giovannucci, Michael F. Leitzmann, Rachel Marklew, Anne McTiernan, Amy Mullee, Isabelle Romieu, Inger Thune, Ricardo Uauy, Martin J. Wiseman, on behalf of the World Cancer Research Fund International Continuous Update Project Panel

Abstract

Anthropometric measures relating to body size, weight and composition are increasingly being associated with cancer risk and progression. Whilst practical in epidemiologic research, where population-level associations with disease are revealed, it is important to be aware that such measures are imperfect markers of the internal physiological processes that are the actual correlates of cancer development. Body mass index (BMI), the most commonly used marker for adiposity, may mask differences between lean and adipose tissue, or fat distribution, which varies across individuals, ethnicities, and stage in the lifespan. Other measures, such as weight gain in adulthood, waist circumference and waist-to-hip ratio, contribute information on adipose tissue distribution and insulin sensitivity. Single anthropometric measures do not capture maturational events, including the presence of critical windows of susceptibility (i.e. age of menarche and menopause), which presents a challenge in epidemiologic work. Integration of experimental research on underlying dynamic genetic, hormonal and other non-nutritional mechanisms is necessary for a confident conclusion of the overall evidence in cancer development and progression. This article discusses the challenges confronted in evaluating and interpreting the current evidence linking anthropometric factors and cancer risk as a basis for issuing recommendations for cancer prevention. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 8 8%
Student > Master 8 8%
Researcher 7 7%
Other 6 6%
Other 15 15%
Unknown 45 44%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Nursing and Health Professions 17 17%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 4 4%
Arts and Humanities 1 <1%
Other 7 7%
Unknown 49 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2019.
All research outputs
#7,593,701
of 24,417,958 outputs
Outputs from International Journal of Cancer
#4,563
of 12,063 outputs
Outputs of similar age
#120,078
of 361,808 outputs
Outputs of similar age from International Journal of Cancer
#34
of 93 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 12,063 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 61% 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 361,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 93 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 61% of its contemporaries.