Title |
Hospitalisation with Infection, Asthma and Allergy in Kawasaki Disease Patients and Their Families: Genealogical Analysis Using Linked Population Data
|
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Published in |
PLOS ONE, November 2011
|
DOI | 10.1371/journal.pone.0028004 |
Pubmed ID | |
Authors |
Rebecca J. Webster, Kim W. Carter, Nicole M. Warrington, Angeline M. Loh, Sophie Zaloumis, Taco W. Kuijpers, Lyle J. Palmer, David P. Burgner |
Abstract |
Kawasaki disease results from an abnormal immunological response to one or more infectious triggers. We hypothesised that heritable differences in immune responses in Kawasaki disease-affected children and their families would result in different epidemiological patterns of other immune-related conditions. We investigated whether hospitalisation for infection and asthma/allergy were different in Kawasaki disease-affected children and their relatives. |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 3% |
Unknown | 32 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 24% |
Professor > Associate Professor | 5 | 15% |
Student > Master | 4 | 12% |
Student > Postgraduate | 3 | 9% |
Other | 2 | 6% |
Other | 4 | 12% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 33% |
Agricultural and Biological Sciences | 3 | 9% |
Mathematics | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Economics, Econometrics and Finance | 2 | 6% |
Other | 3 | 9% |
Unknown | 10 | 30% |