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 |
Framework and components for effective discharge planning system: a delphi methodology
|
|---|---|
| Published in |
BMC Health Services Research, November 2012
|
| DOI | 10.1186/1472-6963-12-396 |
| Pubmed ID | |
| Authors |
Carrie HK Yam, Eliza LY Wong, Annie WL Cheung, Frank WK Chan, Fiona YY Wong, Eng-kiong Yeoh |
| Abstract |
To reduce avoidable hospital readmissions, effective discharge planning and appropriate post discharge support care are key requirements. This study is a 3-staged process to develop, pretest and pilot a framework for an effective discharge planning system in Hong Kong. This paper reports on the methodology of Delphi approach and findings of the second stage on pre-testing the framework developed so as to validate and attest to its applicability and practicability in which consensus was sought on the key components of discharge planning. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Portugal | 1 | <1% |
| Unknown | 190 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 19% |
| Researcher | 19 | 10% |
| Student > Ph. D. Student | 18 | 9% |
| Student > Bachelor | 17 | 9% |
| Other | 13 | 7% |
| Other | 38 | 20% |
| Unknown | 52 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 55 | 28% |
| Medicine and Dentistry | 37 | 19% |
| Social Sciences | 8 | 4% |
| Computer Science | 6 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Other | 26 | 13% |
| Unknown | 57 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 November 2012.
All research outputs
#13,024,245
of 22,685,926 outputs
Outputs from BMC Health Services Research
#4,356
of 7,583 outputs
Outputs of similar age
#94,695
of 179,003 outputs
Outputs of similar age from BMC Health Services Research
#66
of 113 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,583 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 41st percentile – i.e., 41% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.