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Ten-year trends in major lifestyle risk factors using an ongoing population surveillance system in Australia

Overview of attention for article published in Population Health Metrics, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Ten-year trends in major lifestyle risk factors using an ongoing population surveillance system in Australia
Published in
Population Health Metrics, October 2014
DOI 10.1186/s12963-014-0031-z
Pubmed ID
Authors

Anne W Taylor, Eleonora Dal Grande, Jing Wu, Zumin Shi, Stefano Campostrini

Abstract

Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, high blood pressure, and high cholesterol) change over time is a critical aim of public health. The associations across the social gradient over time are important considerations. Risk factor surveillance systems have a part to play in understanding the epidemiological distribution of the risk factors so as to improve preventive measures and design public health interventions for reducing the burden of disease.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Researcher 9 16%
Student > Ph. D. Student 9 16%
Student > Bachelor 4 7%
Student > Postgraduate 3 5%
Other 9 16%
Unknown 11 20%
Readers by discipline Count As %
Medicine and Dentistry 13 23%
Social Sciences 8 14%
Nursing and Health Professions 6 11%
Economics, Econometrics and Finance 4 7%
Psychology 3 5%
Other 5 9%
Unknown 17 30%

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 11 November 2014.
All research outputs
#5,913,743
of 21,224,592 outputs
Outputs from Population Health Metrics
#187
of 389 outputs
Outputs of similar age
#68,435
of 252,485 outputs
Outputs of similar age from Population Health Metrics
#11
of 29 outputs
Altmetric has tracked 21,224,592 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 51% 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 252,485 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 71% of its contemporaries.
We're also able to compare this research output to 29 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 65% of its contemporaries.