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The development of a standardised diet history tool to support the diagnosis of food allergy

Overview of attention for article published in Clinical and Translational Allergy, February 2015
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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 (#50 of 756)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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39 X users
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8 Facebook pages

Citations

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43 Dimensions

Readers on

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121 Mendeley
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Title
The development of a standardised diet history tool to support the diagnosis of food allergy
Published in
Clinical and Translational Allergy, February 2015
DOI 10.1186/s13601-015-0050-2
Pubmed ID
Authors

Isabel J Skypala, Carina Venter, Rosan Meyer, Nicolette W de Jong, Adam T Fox, Marion Groetch, J N Oude Elberink, Aline Sprikkelman, Louiza Diamandi, Berber J Vlieg‐Boerstra, the Allergy‐focussed Diet History Task Force of the European Academy of Allergy and Clinical Immunology

Abstract

The disparity between reported and diagnosed food allergy makes robust diagnosis imperative. The allergy-focussed history is an important starting point, but published literature on its efficacy is sparse. Using a structured approach to connect symptoms, suspected foods and dietary intake, a multi-disciplinary task force of the European Academy of Allergy and Clinical Immunology developed paediatric and adult diet history tools. Both tools are divided into stages using traffic light labelling (red, amber and green). The red stage requires the practitioner to gather relevant information on symptoms, atopic history, food triggers, foods eaten and nutritional issues. The amber stage facilitates interpretation of the responses to the red-stage questions, thus enabling the practitioner to prepare to move forward. The final green stage provides a summary template and test algorithm to support continuation down the diagnostic pathway. These tools will provide a standardised, practical approach to support food allergy diagnosis, ensuring that all relevant information is captured and interpreted in a robust manner. Future work is required to validate their use in diverse age groups, disease entities and in different countries, in order to account for differences in health care systems, food availability and dietary norms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Slovenia 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Other 14 12%
Researcher 13 11%
Student > Bachelor 13 11%
Student > Ph. D. Student 9 7%
Other 26 21%
Unknown 28 23%
Readers by discipline Count As %
Medicine and Dentistry 39 32%
Agricultural and Biological Sciences 17 14%
Nursing and Health Professions 14 12%
Biochemistry, Genetics and Molecular Biology 6 5%
Psychology 2 2%
Other 12 10%
Unknown 31 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 June 2017.
All research outputs
#1,477,876
of 25,374,647 outputs
Outputs from Clinical and Translational Allergy
#50
of 756 outputs
Outputs of similar age
#18,187
of 269,214 outputs
Outputs of similar age from Clinical and Translational Allergy
#2
of 34 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 269,214 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 93% of its contemporaries.
We're also able to compare this research output to 34 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 94% of its contemporaries.