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Mendeley readers
Attention Score in Context
| Title |
Structural equation modeling of the quality of life for patients with marfan syndrome
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, June 2016
|
| DOI | 10.1186/s12955-016-0488-5 |
| Pubmed ID | |
| Authors |
Ju Ryoung Moon, Yong Ae Cho, June Huh, I-Seok Kang, Duk-Kyung Kim |
| Abstract |
We used structural equation modeling to evaluate the quality of life (QOL) for patients with Marfan syndrome (MFS). The goal was to provide guidelines to facilitate the development of interventions and strategies to improve the QOL for patients with MFS. The participants fulfilled the Ghent 2 criteria for MFS and they comprised patients who visited the cardiology outpatient department of a tertiary hospital in Seoul, Korea, between August 17, 2013 and April 17, 2014. Demographic, social support, disease-related factors, biobehavioral factors, and QOL data were collected in one-on-one interviews. The final analyses included 218 patients. Anxious and depressed patients comprised 63.8 and 71.5 % of the sample, respectively. For the hypothetical model, the goodness-of-fit index = 0.91, normal fit index = 0.93, and comparative fit index = 0.90. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. In patients with MFS, the QOL was affected significantly by social support, disease-related factors, and biobehavioral factors. These variables explained 72.4 % of the QOL in patients with MFS. Biobehavioral factors had the strongest and most direct effects on QOL. To improve QOL in patients with MFS, comprehensive interventions are necessary to assess and manage biobehavioral factors, social support, and disease-related factors. |
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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 17% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 19% |
| Psychology | 9 | 14% |
| Nursing and Health Professions | 7 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 19 | 30% |
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 02 June 2016.
All research outputs
#18,461,618
of 22,875,477 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,160 outputs
Outputs of similar age
#254,892
of 339,291 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#22
of 41 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% 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 339,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.