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X Demographics
Mendeley readers
Title |
Predicting asthma in preschool children at high risk presenting in primary care: development of a clinical asthma prediction score
|
---|---|
Published in |
npj Primary Care Respiratory Medicine, February 2014
|
DOI | 10.4104/pcrj.2014.00003 |
Pubmed ID | |
Authors |
Lonneke B van der Mark, Karina E van Wonderen, Jacob Mohrs, Wim MC van Aalderen, Gerben ter Riet, Patrick JE Bindels |
Abstract |
A setting-specific asthma prediction score for preschool children with wheezing and/or dyspnoea presenting in primary healthcare is needed since existing indices are mainly based on general populations. |
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 | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 18% |
Researcher | 8 | 16% |
Student > Bachelor | 7 | 14% |
Student > Ph. D. Student | 6 | 12% |
Student > Doctoral Student | 3 | 6% |
Other | 5 | 10% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 31% |
Nursing and Health Professions | 4 | 8% |
Social Sciences | 3 | 6% |
Computer Science | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 8 | 16% |
Unknown | 15 | 31% |