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X Demographics
Mendeley readers
Attention Score in Context
Title |
The Method for Assigning Priority Levels (MAPLe): A new decision-support system for allocating home care resources
|
---|---|
Published in |
BMC Medicine, March 2008
|
DOI | 10.1186/1741-7015-6-9 |
Pubmed ID | |
Authors |
John P Hirdes, Jeff W Poss, Nancy Curtin-Telegdi |
Abstract |
Home care plays a vital role in many health care systems, but there is evidence that appropriate targeting strategies must be used to allocate limited home care resources effectively. The aim of the present study was to develop and validate a methodology for prioritizing access to community and facility-based services for home care clients. |
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 % |
---|---|---|
Australia | 1 | 50% |
Canada | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 3 | 2% |
United States | 2 | 1% |
United Kingdom | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 131 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 16% |
Researcher | 21 | 15% |
Student > Ph. D. Student | 16 | 12% |
Other | 10 | 7% |
Professor | 9 | 7% |
Other | 34 | 25% |
Unknown | 26 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 24% |
Nursing and Health Professions | 19 | 14% |
Social Sciences | 15 | 11% |
Computer Science | 9 | 7% |
Psychology | 7 | 5% |
Other | 21 | 15% |
Unknown | 34 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 26 September 2020.
All research outputs
#2,448,286
of 22,712,476 outputs
Outputs from BMC Medicine
#1,573
of 3,406 outputs
Outputs of similar age
#6,884
of 81,179 outputs
Outputs of similar age from BMC Medicine
#3
of 6 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 81,179 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.