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The construction of a decision tool to analyse local demand and local supply for GP care using a synthetic estimation model

Overview of attention for article published in Human Resources for Health, October 2013
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Citations

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15 Dimensions

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51 Mendeley
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Title
The construction of a decision tool to analyse local demand and local supply for GP care using a synthetic estimation model
Published in
Human Resources for Health, October 2013
DOI 10.1186/1478-4491-11-55
Pubmed ID
Authors

Willemijn A de Graaf-Ruizendaal, Dinny H de Bakker

Abstract

This study addresses the growing academic and policy interest in the appropriate provision of local healthcare services to the healthcare needs of local populations to increase health status and decrease healthcare costs. However, for most local areas information on the demand for primary care and supply is missing. The research goal is to examine the construction of a decision tool which enables healthcare planners to analyse local supply and demand in order to arrive at a better match.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Thailand 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 31%
Student > Ph. D. Student 8 16%
Researcher 6 12%
Student > Doctoral Student 3 6%
Other 3 6%
Other 6 12%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Business, Management and Accounting 9 18%
Nursing and Health Professions 5 10%
Social Sciences 5 10%
Psychology 2 4%
Other 5 10%
Unknown 10 20%
Attention Score in Context

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 29 September 2014.
All research outputs
#14,387,227
of 25,371,288 outputs
Outputs from Human Resources for Health
#941
of 1,261 outputs
Outputs of similar age
#115,193
of 225,378 outputs
Outputs of similar age from Human Resources for Health
#21
of 22 outputs
Altmetric has tracked 25,371,288 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 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 24th percentile – i.e., 24% 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 225,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.