| Title |
Cluster Analysis of Obesity and Asthma Phenotypes
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0036631 |
| Pubmed ID | |
| Authors |
E. Rand Sutherland, Elena Goleva, Tonya S. King, Erik Lehman, Allen D. Stevens, Leisa P. Jackson, Amanda R. Stream, John V. Fahy |
| Abstract |
Asthma is a heterogeneous disease with variability among patients in characteristics such as lung function, symptoms and control, body weight, markers of inflammation, and responsiveness to glucocorticoids (GC). Cluster analysis of well-characterized cohorts can advance understanding of disease subgroups in asthma and point to unsuspected disease mechanisms. We utilized an hypothesis-free cluster analytical approach to define the contribution of obesity and related variables to asthma phenotype. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | <1% |
| Germany | 1 | <1% |
| Colombia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 289 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 10% |
| Student > Master | 26 | 9% |
| Student > Ph. D. Student | 20 | 7% |
| Student > Bachelor | 16 | 5% |
| Student > Doctoral Student | 13 | 4% |
| Other | 25 | 8% |
| Unknown | 169 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 18% |
| Nursing and Health Professions | 13 | 4% |
| Agricultural and Biological Sciences | 13 | 4% |
| Biochemistry, Genetics and Molecular Biology | 10 | 3% |
| Mathematics | 7 | 2% |
| Other | 22 | 7% |
| Unknown | 180 | 60% |