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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
4 news outlets
policy
3 policy sources
twitter
7 X users

Readers on

mendeley
221 Mendeley
citeulike
1 CiteULike
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Article details
Title
Guiding healthier food choice: systematic comparison of four front-of-pack labelling systems and their effect on judgements of product healthiness
Published in
British Journal of Nutrition, April 2015
DOI 10.1017/s0007114515000264
Pubmed ID
Authors
Abstract

Different front-of-pack (FOP) labelling systems have been developed in Europe by industry and organisations concerned with health promotion. A study (n 2068) was performed to establish the extent to which inclusion of the most prevalent FOP systems ��� guideline daily amounts (GDA), traffic lights (TL), GDA+TL hybrid (HYB) and health logos (HL) ��� impact consumer perceptions of healthiness over and above the provision of a FOP basic label (BL) containing numerical nutritional information alone. The design included within- and between-subjects factors. The within-subjects factors were: food (pizzas, yogurts and biscuits), healthiness of the food (high health, medium health and low health) and the repeated measurements under BL and test FOP label conditions. The between-subjects factors were: the system (GDA, TL, GDA+TL hybrid, HL), portion size (typical portion size and a 50��% reduction of a typical portion) and country (the UK, Germany, Poland and Turkey). Although the FOP systems tested did result in small improvements for objective understanding under some conditions, there was little difference between the provision of an FOP label containing basic numerical nutritional information alone or between the various systems. Thus, any structured and legible presentation of key nutrient and energy information on the FOP label is sufficient to enable consumers to detect a healthier alternative within a food category when provided with foods that have distinctly different levels of healthiness. Future research should focus on developing greater understanding of the psychological and contextual factors that impact motivation and the opportunity to use the various FOP systems in real-world shopping settings.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 221 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 %
Sweden 1 <1%
United Kingdom 1 <1%
Ecuador 1 <1%
Australia 1 <1%
Unknown 217 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 32 14%
Student > Ph. D. Student 25 11%
Researcher 24 11%
Student > Bachelor 16 7%
Student > Postgraduate 14 6%
Other 40 18%
Unknown 70 32%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 27 12%
Medicine and Dentistry 23 10%
Agricultural and Biological Sciences 18 8%
Psychology 16 7%
Business, Management and Accounting 14 6%
Other 39 18%
Unknown 84 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 09 September 2022.
All research outputs
#1,071,919
of 32,539,387 outputs
Outputs from British Journal of Nutrition
#606
of 7,354 outputs
Outputs of similar age
#10,938
of 299,681 outputs
Outputs of similar age from British Journal of Nutrition
#7
of 91 outputs
Altmetric has tracked 32,539,387 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done particularly well, scoring higher than 91% 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 299,681 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 96% of its contemporaries.
We're also able to compare this research output to 91 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 92% of its contemporaries.