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Systematic examination of publicly-available information reveals the diverse and extensive corporate political activity of the food industry in Australia

Overview of attention for article published in BMC Public Health, March 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
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60 X users
facebook
1 Facebook page

Citations

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83 Dimensions

Readers on

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88 Mendeley
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Title
Systematic examination of publicly-available information reveals the diverse and extensive corporate political activity of the food industry in Australia
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2955-7
Pubmed ID
Authors

Melissa Mialon, Boyd Swinburn, Steven Allender, Gary Sacks

Abstract

The political influence of the food industry, referred to as corporate political activity (CPA), represents a potential barrier to the development and implementation of effective public health policies for non-communicable diseases prevention. This paper reports on the feasibility and limitations of using publicly-available information to identify and monitor the CPA of the food industry in Australia. A systematic search was conducted for information from food industry, government and other publicly-available data sources in Australia. Data was collected in relation to five key food industry actors: the Australian Food and Grocery Council; Coca Cola; McDonald's; Nestle; and Woolworths, for the period January 2012 to February 2015. Data analysis was guided by an existing framework for classifying CPA strategies of the food industry. The selected food industry actors used multiple CPA strategies, with 'information and messaging' and 'constituency building' strategies most prominent. The systematic analysis of publicly-available information over a limited period was able to identify diverse and extensive CPA strategies of the food industry in Australia. This approach can contribute to accountability mechanisms for NCD prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 60 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 19%
Researcher 11 13%
Student > Master 11 13%
Student > Ph. D. Student 8 9%
Other 5 6%
Other 10 11%
Unknown 26 30%
Readers by discipline Count As %
Nursing and Health Professions 13 15%
Social Sciences 12 14%
Medicine and Dentistry 12 14%
Psychology 5 6%
Agricultural and Biological Sciences 3 3%
Other 12 14%
Unknown 31 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 18 October 2020.
All research outputs
#1,010,609
of 25,138,857 outputs
Outputs from BMC Public Health
#1,098
of 16,788 outputs
Outputs of similar age
#17,487
of 306,420 outputs
Outputs of similar age from BMC Public Health
#20
of 205 outputs
Altmetric has tracked 25,138,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,788 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 93% 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 306,420 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 94% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.