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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relationship between activity limitation and health-related quality of life in school-aged children with cerebral palsy: a cross-sectional study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, April 2017
|
| DOI | 10.1186/s12955-017-0650-8 |
| Pubmed ID | |
| Authors |
Eun-Young Park |
| Abstract |
Information on health-related quality of life is becoming increasingly important in children with cerebral palsy. This study investigated the relationship between activity limitation and health-related quality of life in school-aged children with cerebral palsy. Data were collected from 71 children aged 6-15 years with cerebral palsy. Activity limitations were assessed using functional classification systems, including the Korean-Gross Motor Function Classification System (K-GMFCS) and the Korean-Manual Ability Classification System (K-MACS). Health-related quality of life was assessed using the Korean version of the Childhood Health Assessment Questionnaire. Physical therapists collected the data by interviewing the parents of the subjects. Both the K-GMFCS and the K-MACS were significantly positively correlated with the Childhood Health Assessment Questionnaire. The Childhood Health Assessment Questionnaire score differed significantly with respect to the functional classification systems. The differences in the ratings according to the K-GMFCS levels were significant, except those between levels I and II, levels II and III, levels III and IV, and levels IV and V. In the K-MACS, there were no significant differences between levels I and II, levels III and IV, and levels IV and V. The K-GMFCS and the K-MACS were significant predictors of health-related quality of life, demonstrating 75.5% of the variance (p < 0.05). Comprehensive information on children with cerebral palsy should be gathered to provide professionals with a better understanding of health-related quality of life. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 15% |
| Student > Bachelor | 12 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Other | 6 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 33 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 15 | 16% |
| Medicine and Dentistry | 12 | 13% |
| Sports and Recreations | 6 | 7% |
| Psychology | 6 | 7% |
| Social Sciences | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 38 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 May 2017.
All research outputs
#14,934,072
of 22,968,808 outputs
Outputs from Health and Quality of Life Outcomes
#1,271
of 2,184 outputs
Outputs of similar age
#184,383
of 310,521 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#37
of 75 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,184 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% 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 310,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.