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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AIT (allergen immunotherapy): a model for the “precision medicine”
|
|---|---|
| Published in |
Clinical and Molecular Allergy, October 2015
|
| DOI | 10.1186/s12948-015-0028-6 |
| Pubmed ID | |
| Authors |
Giovanni Passalacqua, Giorgio Walter Canonica |
| Abstract |
The interpretation of medical approaches, especially therapy, evolved rapidly in the last century. Starting from the simple description of symptoms, we moved to the pathophysiological descriptions, to the evidence-based medicine, until the so-called "precision medicine". This latter can be defined as a structural model aimed at customizing healthcare, with medical decisions/products tailored on an individual patient at a highly detailed level. In this sense, allergen immunotherapy represents an optimal model of "precision medicine", since we know and describe symptoms, function, aetiological agents at molecular level, and we have the possibility to intervene on the natural history of the disease. If considered under the point of view of pharmaco-economy, that is prescribing the optimal treatment to the right patient, allergen immunotherapy represents an almost-ideal model of precision medicine. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Romania | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 14% |
| Other | 2 | 9% |
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 32% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 July 2016.
All research outputs
#13,957,995
of 22,830,751 outputs
Outputs from Clinical and Molecular Allergy
#151
of 214 outputs
Outputs of similar age
#139,068
of 278,190 outputs
Outputs of similar age from Clinical and Molecular Allergy
#5
of 7 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 214 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 27th percentile – i.e., 27% 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 278,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.