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Allergen Immunotherapy (AIT): a prototype of Precision Medicine

Overview of attention for article published in World Allergy Organization Journal, November 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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Citations

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Title
Allergen Immunotherapy (AIT): a prototype of Precision Medicine
Published in
World Allergy Organization Journal, November 2015
DOI 10.1186/s40413-015-0079-7
Pubmed ID
Authors

GW Canonica, C. Bachert, P. Hellings, D. Ryan, E. Valovirta, M. Wickman, O. De Beaumont, J. Bousquet

Abstract

Precision medicine is a medical model aiming to deliver customised healthcare - with medical decisions, practices, and/or products tailored to the individual patient informed but not directed by guidelines. Allergen immunotherapy has unique immunological rationale, since the approach is tailored to the specific IgE spectrum of an individual and modifies the natural course of the disease as it has a persistent efficacy after completion of treatment. In this perspective Allergen Immunotherapy - AIT has to be presently considered a prototype of Precision Medicine. Precise information and biomarkers provided by systems medicine and network medicine will address the discovery of Allergen immunotherapy biomarkers for (i) identification of the causes, (ii) stratification of eligible patients for AIT and (iii) the assessment of AIT efficacy. This area of medical technology is evolving rapidly and, compelemented by e-health, will change the way we practice medicine. It will help to monitor patients' disease control and data for (i) patient stratification, (ii) clinical trials, (iii) monitoring the efficacy and safety of targeted therapies which are critical for reaching an appropriate reimbursement. Biomarkers associated with e-health combined with a clinical decision support system (CDSS) will change the scope of Allergen immunotherapy. The cost/effectiveness of Allergen immunotherapy is a key issue for successful implementation. It should include the long-term benefits in the pharmaco-economic evaluation, since no other allergy treatment has this specific characteristic. AIT is the prototype of current and future precision medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Researcher 17 14%
Student > Master 12 10%
Student > Postgraduate 11 9%
Student > Bachelor 10 8%
Other 21 18%
Unknown 32 27%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Agricultural and Biological Sciences 10 8%
Nursing and Health Professions 8 7%
Biochemistry, Genetics and Molecular Biology 8 7%
Engineering 6 5%
Other 21 18%
Unknown 35 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2015.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from World Allergy Organization Journal
#567
of 891 outputs
Outputs of similar age
#101,194
of 294,330 outputs
Outputs of similar age from World Allergy Organization Journal
#8
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 294,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.