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Detection of clusters of a rare disease over a large territory: performance of cluster detection methods

Overview of attention for article published in International Journal of Health Geographics, October 2011
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1 X user

Citations

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Title
Detection of clusters of a rare disease over a large territory: performance of cluster detection methods
Published in
International Journal of Health Geographics, October 2011
DOI 10.1186/1476-072x-10-53
Pubmed ID
Authors

Stéphanie Goujon-Bellec, Claire Demoury, Aurélie Guyot-Goubin, Denis Hémon, Jacqueline Clavel

Abstract

For many years, the detection of clusters has been of great public health interest. Several detection methods have been developed, the most famous of which is the circular scan method. The present study, which was conducted in the context of a rare disease distributed over a large territory (7675 cases registered over 17 years and located in 1895 units), aimed to evaluate the performance of several of the methods in realistic hot-spot cluster situations.

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
France 1 2%
Portugal 1 2%
United Kingdom 1 2%
Brazil 1 2%
Denmark 1 2%
Canada 1 2%
Unknown 56 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 28%
Student > Ph. D. Student 8 12%
Professor > Associate Professor 7 11%
Lecturer 6 9%
Student > Bachelor 6 9%
Other 15 23%
Unknown 5 8%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Environmental Science 8 12%
Agricultural and Biological Sciences 8 12%
Mathematics 5 8%
Computer Science 3 5%
Other 16 25%
Unknown 10 15%
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 13 October 2011.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from International Journal of Health Geographics
#463
of 654 outputs
Outputs of similar age
#101,476
of 144,573 outputs
Outputs of similar age from International Journal of Health Geographics
#4
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 22nd percentile – i.e., 22% 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 144,573 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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 2 of them.