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Is there much variation in variation? Revisiting statistics of small area variation in health services research

Overview of attention for article published in BMC Health Services Research, April 2009
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Citations

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66 Dimensions

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88 Mendeley
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Title
Is there much variation in variation? Revisiting statistics of small area variation in health services research
Published in
BMC Health Services Research, April 2009
DOI 10.1186/1472-6963-9-60
Pubmed ID
Authors

Berta Ibáñez, Julián Librero, Enrique Bernal-Delgado, Salvador Peiró, Beatriz González López-Valcarcel, Natalia Martínez, Felipe Aizpuru

Abstract

The importance of Small Area Variation Analysis for policy-making contrasts with the scarcity of work on the validity of the statistics used in these studies. Our study aims at 1) determining whether variation in utilization rates between health areas is higher than would be expected by chance, 2) estimating the statistical power of the variation statistics; and 3) evaluating the ability of different statistics to compare the variability among different procedures regardless of their rates.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Canada 2 2%
Germany 1 1%
Croatia 1 1%
Unknown 81 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Researcher 13 15%
Student > Master 11 13%
Other 7 8%
Student > Postgraduate 6 7%
Other 23 26%
Unknown 11 13%
Readers by discipline Count As %
Medicine and Dentistry 30 34%
Nursing and Health Professions 9 10%
Social Sciences 8 9%
Economics, Econometrics and Finance 7 8%
Business, Management and Accounting 4 5%
Other 12 14%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from BMC Health Services Research
#6,446
of 7,605 outputs
Outputs of similar age
#85,824
of 93,479 outputs
Outputs of similar age from BMC Health Services Research
#15
of 17 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,605 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 7th percentile – i.e., 7% 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 93,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.