You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Independent predictors of physical health in community-dwelling patients with coronary heart disease in Singapore
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, July 2016
|
| DOI | 10.1186/s12955-016-0514-7 |
| Pubmed ID | |
| Authors |
Wenru Wang, Ying Jiang, Chi-Hang Lee |
| Abstract |
Patients with coronary heart disease (CHD) experienced poor physical health which was found to be associated with higher hospital readmission rates and increased mortality. The study aimed to identify the independent predictors of physical health in Singaporean patients with CHD. A consecutive sample of 129 patients with CHD was recruited from the medical heart clinic of a tertiary public hospital in Singapore. A set of questionnaires including the Short Form 12-item health survey version 2, Perceived Stress Scale, Hospital Anxiety and Depression Scale, and Cardiac Self-Efficacy Scale were used to measure the study outcomes. The patients' socio-demographic and clinical data were also collected. A multivariate linear regression analysis indicated that depression (B = -0.766, p < 0.05) and self-efficacy for maintaining function (B = 2.351, p < 0.05) remained significant while the other variables were adjusted and identified as the independent predictors of physical health in Singaporean patients with CHD. This study has shed some light on the key factors influencing the physical health of Singaporean patients with CHD. The finding suggests tailored interventions that target mitigating a patient's depression and promote self-efficacy for maintaining function may be helpful in improving patients' physical health and quality of life. |
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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 20% |
| Student > Bachelor | 7 | 10% |
| Lecturer | 5 | 7% |
| Researcher | 5 | 7% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 28 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 16 | 23% |
| Medicine and Dentistry | 9 | 13% |
| Psychology | 5 | 7% |
| Neuroscience | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 29 | 41% |
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 28 July 2016.
All research outputs
#18,466,751
of 22,881,964 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,160 outputs
Outputs of similar age
#282,201
of 365,664 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#26
of 38 outputs
Altmetric has tracked 22,881,964 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 365,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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.