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Molecular Genetics of Asthma

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Attention for Chapter 18: Molecular Genetics of Asthma
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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3 X users

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16 Mendeley
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Chapter title
Molecular Genetics of Asthma
Chapter number 18
Book title
Molecular Genetics of Asthma
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3652-6_18
Pubmed ID
Book ISBNs
978-1-4939-3650-2, 978-1-4939-3652-6
Authors

Sánchez-Martín, Almudena, García-Sánchez, Asunción, Isidoro-García, María, Almudena Sánchez-Martín, Asunción García-Sánchez, María Isidoro-García

Abstract

Nearly one-half of asthmatic patients do not respond to the most common therapies. Evidence suggests that genetic factors may be involved in the heterogeneity in therapeutic response and adverse events to asthma therapies. We focus on the three major classes of asthma medication: β-adrenergic receptor agonist, inhaled corticosteroids, and leukotriene modifiers. Pharmacogenetics and pharmacogenomics studies have identified several candidate genes associated with drug response.In this chapter, the main pharmacogenetic and pharmacogenomic studies in addition to the future perspectives in personalized medicine will be reviewed. The ideal treatment of asthma would be a tailored approach to health care in which adverse effects are minimized and the therapeutic benefit for an individual asthmatic is maximized leading to a more cost-effective care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 25%
Researcher 4 25%
Student > Master 2 13%
Student > Ph. D. Student 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Pharmacology, Toxicology and Pharmaceutical Science 3 19%
Economics, Econometrics and Finance 2 13%
Medicine and Dentistry 2 13%
Immunology and Microbiology 1 6%
Other 2 13%
Unknown 1 6%
Attention Score in Context

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 21 June 2016.
All research outputs
#13,473,953
of 22,877,793 outputs
Outputs from Methods in molecular biology
#3,626
of 13,131 outputs
Outputs of similar age
#189,686
of 393,697 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,471 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 393,697 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 50% of its contemporaries.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.