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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How does asthma influence the daily life of children? Results of focus group interviews
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, January 2010
|
| DOI | 10.1186/1477-7525-8-5 |
| Pubmed ID | |
| Authors |
Lisette van den Bemt, Sabine Kooijman, Vinca Linssen, Peter Lucassen, Jean Muris, Gordon Slabbers, Tjard Schermer |
| Abstract |
Health-related quality of life (HRQL) brings together various aspects of an individual's subjective experience that relate both directly and indirectly to health, disease, disability, and impairment. Although asthma is the most common chronic disease in childhood, information on pediatric patients' views on asthma-specific HRQL has not been described before. The aim of this study was to establish the components of asthma-specific HRQL, as experienced by primary school-aged asthmatic children. The generated components will be used to develop an individualized HRQL instrument for childhood asthma. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 92 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 22% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Bachelor | 11 | 11% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 20% |
| Psychology | 15 | 15% |
| Nursing and Health Professions | 8 | 8% |
| Social Sciences | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Other | 17 | 18% |
| Unknown | 25 | 26% |
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 09 February 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Health and Quality of Life Outcomes
#1,449
of 2,297 outputs
Outputs of similar age
#144,725
of 173,830 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#10
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 173,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.