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Spatial parasite ecology and epidemiology: a review of methods and applications

Overview of attention for article published in Parasitology, July 2012
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Title
Spatial parasite ecology and epidemiology: a review of methods and applications
Published in
Parasitology, July 2012
DOI 10.1017/s0031182012000698
Pubmed ID
Authors

RACHEL L. PULLAN, HUGH J. W. STURROCK, RICARDO J. SOARES MAGALHÃES, ARCHIE C. A. CLEMENTS, SIMON J. BROOKER

Abstract

The distributions of parasitic diseases are determined by complex factors, including many that are distributed in space. A variety of statistical methods are now readily accessible to researchers providing opportunities for describing and ultimately understanding and predicting spatial distributions. This review provides an overview of the spatial statistical methods available to parasitologists, ecologists and epidemiologists and discusses how such methods have yielded new insights into the ecology and epidemiology of infection and disease. The review is structured according to the three major branches of spatial statistics: continuous spatial variation; discrete spatial variation; and spatial point processes.

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

Geographical breakdown

Country Count As %
United States 3 1%
Argentina 2 <1%
Germany 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Kenya 1 <1%
Mexico 1 <1%
Australia 1 <1%
Other 2 <1%
Unknown 220 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 26%
Researcher 42 18%
Student > Master 32 14%
Student > Bachelor 14 6%
Other 12 5%
Other 42 18%
Unknown 30 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 31%
Medicine and Dentistry 31 13%
Environmental Science 18 8%
Veterinary Science and Veterinary Medicine 12 5%
Social Sciences 11 5%
Other 50 21%
Unknown 40 17%
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 03 December 2012.
All research outputs
#20,011,485
of 25,457,858 outputs
Outputs from Parasitology
#2,244
of 2,817 outputs
Outputs of similar age
#134,696
of 178,260 outputs
Outputs of similar age from Parasitology
#13
of 18 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,817 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 17th percentile – i.e., 17% 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 178,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.