Title |
Statistical Cluster Analysis of the British Thoracic Society Severe Refractory Asthma Registry: Clinical Outcomes and Phenotype Stability
|
---|---|
Published in |
PLOS ONE, July 2014
|
DOI | 10.1371/journal.pone.0102987 |
Pubmed ID | |
Authors |
Chris Newby, Liam G. Heaney, Andrew Menzies-Gow, Rob M. Niven, Adel Mansur, Christine Bucknall, Rekha Chaudhuri, John Thompson, Paul Burton, Chris Brightling |
Abstract |
Severe refractory asthma is a heterogeneous disease. We sought to determine statistical clusters from the British Thoracic Society Severe refractory Asthma Registry and to examine cluster-specific outcomes and stability. |
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 % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 109 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 16% |
Student > Master | 15 | 13% |
Student > Ph. D. Student | 14 | 13% |
Student > Bachelor | 10 | 9% |
Student > Postgraduate | 6 | 5% |
Other | 21 | 19% |
Unknown | 28 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 40% |
Nursing and Health Professions | 7 | 6% |
Mathematics | 7 | 6% |
Agricultural and Biological Sciences | 3 | 3% |
Computer Science | 3 | 3% |
Other | 14 | 13% |
Unknown | 33 | 29% |