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Heterogeneity in Asthma

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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 3: Heterogeneity of asthma in society.
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Chapter title
Heterogeneity of asthma in society.
Chapter number 3
Book title
Heterogeneity in Asthma
Published in
Advances in experimental medicine and biology, October 2013
DOI 10.1007/978-1-4614-8603-9_3
Pubmed ID
Book ISBNs
978-1-4614-8602-2, 978-1-4614-8603-9
Authors

Divekar R, Calhoun WJ, Rohit Divekar, William J. Calhoun, Divekar, Rohit, Calhoun, William J.

Abstract

There has been an increased interest in studying other factors that affect asthma pathogenesis and cause heterogeneity in prevalence and incidence of asthma. The reason there are such varied expression patterns of disease in asthmatics is because of multiple variables that affect the pathogenesis of asthma. As an exemplar of an epidemiologic variable, we will discuss geographical location, obesity and vitamin D status of the individual, and their effects on asthma burden in humans. There is varying data regarding the prevalence or severity of asthma in urban versus rural setting which is likely related to the difference of the populations studied, complexity of causal variables involved, and local geographic factors. In addition to cross-sectional and cohort studies in humans, animal models and studies have established a link between asthma and obesity by investigating the mechanisms affecting both disease processes. The complicated interrelationship between obesity and asthma is an active area of epidemiological and experimental research with new insights being discovered at a rapid pace. Finally, vitamin D, an important immunomodulator thought to be important in pathogenesis of asthma, has both mechanistic and therapeutic implications in treatment of asthma. The influences of these factors on the clinical expression of asthma are discussed below.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 17%
Student > Bachelor 4 17%
Student > Doctoral Student 3 13%
Researcher 2 9%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Biochemistry, Genetics and Molecular Biology 3 13%
Nursing and Health Professions 3 13%
Agricultural and Biological Sciences 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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
#15,301,167
of 22,756,196 outputs
Outputs from Advances in experimental medicine and biology
#2,495
of 4,926 outputs
Outputs of similar age
#130,764
of 212,707 outputs
Outputs of similar age from Advances in experimental medicine and biology
#18
of 45 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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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 is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.