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https://dx.doi.org/10.1111/all...
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Claim

Predicted number of peanut‐allergic patients needed to treat with epicutaneous immunotherapy (EPIT) to prevent one allergic reaction: A novel approach to assessing relevance

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 19 Jun 2021 United States, United Kingdom English Publisher:WileyJournal:Allergy, volume 76, pages 3,223-3,226 (issn: 0105-4538, eissn: 1398-9995, Copyright policy )
Authors: Benjamin C. Remington; Stef J. Koppelman; Todd D. Green; Gideon Lack; Graham Roberts; Dianne E. Campbell;

doi: 10.1111/all.14973

pmid: 34077581

pmc: PMC9291584

Predicted number of peanut‐allergic patients needed to treat with epicutaneous immunotherapy (EPIT) to prevent one allergic reaction: A novel approach to assessing relevance

Abstract

Letter to the editor about the predicted number of peanut-allergic patients needed to treat with epicutaneous immunotherapy (EPIT) to prevent one allergic reaction, including a novel approach to assessing relevance.

Countries
United States, United Kingdom
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Keywords

Arachis, Allergy and Immunology, 610, Humans, Peanut Hypersensitivity, Letters, Immunotherapy, Dietetics and Clinical Nutrition, Food Science

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid