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Issues facing the future health care workforce: the importance of demand modelling

Overview of attention for article published in Australia and New Zealand Health Policy, May 2009
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Mentioned by

policy
1 policy source

Readers on

mendeley
114 Mendeley
citeulike
2 CiteULike
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Title
Issues facing the future health care workforce: the importance of demand modelling
Published in
Australia and New Zealand Health Policy, May 2009
DOI 10.1186/1743-8462-6-12
Pubmed ID
Authors

Leonie Segal, Tom Bolton

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Ireland 1 <1%
Italy 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 18%
Student > Ph. D. Student 19 17%
Researcher 17 15%
Student > Bachelor 9 8%
Student > Postgraduate 7 6%
Other 23 20%
Unknown 19 17%
Readers by discipline Count As %
Medicine and Dentistry 22 19%
Social Sciences 15 13%
Economics, Econometrics and Finance 14 12%
Business, Management and Accounting 13 11%
Nursing and Health Professions 9 8%
Other 17 15%
Unknown 24 21%
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 26 July 2022.
All research outputs
#8,784,015
of 25,988,468 outputs
Outputs from Australia and New Zealand Health Policy
#2
of 2 outputs
Outputs of similar age
#37,705
of 105,657 outputs
Outputs of similar age from Australia and New Zealand Health Policy
#2
of 4 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 0 of them.
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 105,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.