| Title |
Decision-making factors affecting different family members regarding the placement of relatives in long-term care facilities
|
|---|---|
| Published in |
BMC Health Services Research, January 2014
|
| DOI | 10.1186/1472-6963-14-21 |
| Pubmed ID | |
| Authors |
Ying-Chia Huang, Chiao-Lee Chu, Ching-Sung Ho, Shou-Jen Lan, Chen-Hsi Hsieh, Yen-Ping Hsieh |
| Abstract |
The aim of this research was to investigate factors affecting different family members' decisions regarding the placement of relatives in long-term car (LTC) facilities in Taiwan. The objective was to investigate the correlations between family members' personal traits, the living conditions of residents in the LTC facilities, and family members' experiences with LTC facilities. |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 18 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 17% |
| Social Sciences | 7 | 15% |
| Business, Management and Accounting | 4 | 9% |
| Medicine and Dentistry | 3 | 6% |
| Psychology | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 20 | 43% |
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 20 May 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from BMC Health Services Research
#5,547
of 7,617 outputs
Outputs of similar age
#188,168
of 304,630 outputs
Outputs of similar age from BMC Health Services Research
#86
of 117 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,617 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 304,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.