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Nutrigenomics-based personalised nutritional advice: in search of a business model?

Overview of attention for article published in Genes & Nutrition, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 387)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
127 Mendeley
Title
Nutrigenomics-based personalised nutritional advice: in search of a business model?
Published in
Genes & Nutrition, August 2012
DOI 10.1007/s12263-012-0308-4
Pubmed ID
Authors

Amber Ronteltap, Hans van Trijp, Aleksandra Berezowska, Jo Goossens

Abstract

Nutritional advice has mainly focused on population-level recommendations. Recent developments in nutrition, communication, and marketing sciences have enabled potential deviations from this dominant business model in the direction of personalisation of nutrition advice. Such personalisation efforts can take on many forms, but these have in common that they can only be effective if they are supported by a viable business model. The present paper takes an inventory of approaches to personalised nutrition currently available in the market place as its starting point to arrive at an identification of their underlying business models. This analysis is presented as a unifying framework against which the potential of nutrigenomics-based personalised advice can be assessed. It has uncovered nine archetypical approaches to personalised nutrition advice in terms of their dominant underlying business models. Differentiating features among such business models are the type of information that is used as a basis for personalisation, the definition of the target group, the communication channels that are being adopted, and the partnerships that are built as a part of the business model. Future research should explore the consumer responses to the diversity of "archetypical" business models for personalised nutrition advice as a source of market information on which the delivery of nutrigenomics-based personalised nutrition advice may further build.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Germany 1 <1%
Switzerland 1 <1%
Luxembourg 1 <1%
Unknown 122 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 27%
Student > Bachelor 17 13%
Student > Ph. D. Student 16 13%
Researcher 14 11%
Student > Postgraduate 7 6%
Other 22 17%
Unknown 17 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 20%
Biochemistry, Genetics and Molecular Biology 16 13%
Medicine and Dentistry 15 12%
Nursing and Health Professions 13 10%
Business, Management and Accounting 12 9%
Other 23 18%
Unknown 23 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 March 2019.
All research outputs
#2,316,613
of 22,679,690 outputs
Outputs from Genes & Nutrition
#46
of 387 outputs
Outputs of similar age
#15,806
of 169,237 outputs
Outputs of similar age from Genes & Nutrition
#2
of 11 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 88% 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 169,237 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 90% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.