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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, January 2011
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Mentioned by

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1 tweeter

Citations

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27 Dimensions

Readers on

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65 Mendeley
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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, January 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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%
Student > Bachelor 7 11%
Lecturer 6 9%
Other 13 20%
Unknown 6 9%
Readers by discipline Count As %
Medicine and Dentistry 16 25%
Agricultural and Biological Sciences 9 14%
Environmental Science 7 11%
Mathematics 5 8%
Social Sciences 3 5%
Other 15 23%
Unknown 10 15%

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
#2,672,564
of 5,039,474 outputs
Outputs from International Journal of Health Geographics
#184
of 306 outputs
Outputs of similar age
#31,306
of 70,319 outputs
Outputs of similar age from International Journal of Health Geographics
#5
of 6 outputs
Altmetric has tracked 5,039,474 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 31st percentile – i.e., 31% 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 70,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% 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.