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Heterogeneity in Asthma

Overview of attention for book
Cover of 'Heterogeneity in Asthma'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to asthma and phenotyping.
  3. Altmetric Badge
    Chapter 2 Epidemiology of asthma: prevalence and burden of disease.
  4. Altmetric Badge
    Chapter 3 Heterogeneity of asthma in society.
  5. Altmetric Badge
    Chapter 4 Inhaled environmental allergens and toxicants as determinants of the asthma phenotype.
  6. Altmetric Badge
    Chapter 5 Current clinical diagnostic tests for asthma.
  7. Altmetric Badge
    Chapter 6 Management of Asthma: The Current US and European Guidelines.
  8. Altmetric Badge
    Chapter 7 Community-based interventions in asthma.
  9. Altmetric Badge
    Chapter 8 Heterogeneity of response to therapy.
  10. Altmetric Badge
    Chapter 9 Introduction to genetics and genomics in asthma: genetics of asthma.
  11. Altmetric Badge
    Chapter 10 Gene expression profiling in asthma.
  12. Altmetric Badge
    Chapter 11 Asthma epigenetics.
  13. Altmetric Badge
    Chapter 12 Overview.
  14. Altmetric Badge
    Chapter 13 Metabolomics in Asthma
  15. Altmetric Badge
    Chapter 14 Proteomic Analysis of the Asthmatic Airway
  16. Altmetric Badge
    Chapter 15 Measurement of the innate immune response in the airway.
  17. Altmetric Badge
    Chapter 16 Functional proteomics for the characterization of impaired cellular responses to glucocorticoids in asthma.
  18. Altmetric Badge
    Chapter 17 Analysis and Predictive Modeling of Asthma Phenotypes
  19. Altmetric Badge
    Chapter 18 The Role of Visual Analytics in Asthma Phenotyping and Biomarker Discovery
  20. Altmetric Badge
    Chapter 19 Central nervous system influences in asthma.
  21. Altmetric Badge
    Chapter 20 Asthma, culture, and cultural analysis: continuing challenges.
  22. Altmetric Badge
    Chapter 21 Conclusions and future directions.
Attention for Chapter 4: Inhaled environmental allergens and toxicants as determinants of the asthma phenotype.
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Chapter title
Inhaled environmental allergens and toxicants as determinants of the asthma phenotype.
Chapter number 4
Book title
Heterogeneity in Asthma
Published in
Advances in experimental medicine and biology, October 2013
DOI 10.1007/978-1-4614-8603-9_4
Pubmed ID
Book ISBNs
978-1-4614-8602-2, 978-1-4614-8603-9
Authors

Sokol K, Sur S, Ameredes BT, Kristin Sokol, Sanjiv Sur, Bill T. Ameredes, Sokol, Kristin, Sur, Sanjiv, Ameredes, Bill T.

Abstract

The driving environmental factors behind the development of the asthma phenotype remain incompletely studied and understood. Here, we present an overview of inhaled allergic/atopic and mainly nonallergic/nonatopic or toxicant shapers of the asthma phenotype, which are present in both the indoor and outdoor environment around us. The inhaled allergic/atopic factors include fungus, mold, animal dander, cockroach, dust mites, and pollen; these allergic triggers and shapers of the asthma phenotype are considered in the context of their ability to drive the immunologic IgE response and potentially induce interactions between the innate and adaptive immune responses, with special emphasis on the NADPH-dependent reactive oxygen-species-associated mechanism of pollen-associated allergy induction. The inhaled nonallergic/nonatopic, toxicant factors include gaseous and volatile agents, such as sulfur dioxide, ozone, acrolein, and butadiene, as well as particulate agents, such as rubber tire breakdown particles, and diesel exhaust particles. These toxicants are reviewed in terms of their relevant chemical characteristics and hazard potential, ability to induce airway dysfunction, and potential for driving the asthma phenotype. Special emphasis is placed on their interactive nature with other triggers and drivers, with regard to driving the asthma phenotype. Overall, both allergic and nonallergic environmental factors can interact to acutely exacerbate the asthma phenotype; some may also promote its development over prolonged periods of untreated exposure, or possibly indirectly through effects on the genome. Further therapeutic considerations should be given to these environmental factors when determining the best course of personalized medicine for individuals with asthma.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Student > Ph. D. Student 5 11%
Professor > Associate Professor 2 5%
Student > Bachelor 2 5%
Student > Master 2 5%
Other 6 14%
Unknown 16 36%
Readers by discipline Count As %
Medicine and Dentistry 7 16%
Environmental Science 5 11%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 2 5%
Other 7 16%
Unknown 16 36%
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 30 May 2014.
All research outputs
#13,713,889
of 22,756,196 outputs
Outputs from Advances in experimental medicine and biology
#1,972
of 4,926 outputs
Outputs of similar age
#114,616
of 212,707 outputs
Outputs of similar age from Advances in experimental medicine and biology
#14
of 45 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 59% 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 212,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 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 68% of its contemporaries.