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Personnel planning in general practices: development and testing of a skill mix analysis method

Overview of attention for article published in Human Resources for Health, September 2014
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Mentioned by

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4 X users

Citations

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7 Dimensions

Readers on

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41 Mendeley
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Title
Personnel planning in general practices: development and testing of a skill mix analysis method
Published in
Human Resources for Health, September 2014
DOI 10.1186/1478-4491-12-53
Pubmed ID
Authors

Juliane von Eitzen-Strassel, Hubertus J M Vrijhoef, Emmy W C C Derckx, Dinny H de Bakker

Abstract

General practitioners (GPs) have to match patients' demands with the mix of their practice staff's competencies. However, apart from some general principles, there is little guidance on recruiting new staff. The purpose of this study was to develop and test a method which would allow GPs or practice managers to perform a skill mix analysis which would take into account developments in local demand.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Master 5 12%
Researcher 5 12%
Student > Doctoral Student 2 5%
Student > Postgraduate 2 5%
Other 5 12%
Unknown 15 37%
Readers by discipline Count As %
Medicine and Dentistry 9 22%
Business, Management and Accounting 5 12%
Nursing and Health Professions 4 10%
Social Sciences 4 10%
Engineering 2 5%
Other 1 2%
Unknown 16 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 September 2014.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from Human Resources for Health
#1,040
of 1,261 outputs
Outputs of similar age
#135,827
of 260,165 outputs
Outputs of similar age from Human Resources for Health
#24
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 15th percentile – i.e., 15% 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 260,165 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 24 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.