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Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns

Overview of attention for article published in International Journal of Health Geographics, January 2013
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1 Facebook page

Citations

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15 Dimensions

Readers on

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68 Mendeley
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Title
Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns
Published in
International Journal of Health Geographics, January 2013
DOI 10.1186/1476-072x-12-60
Pubmed ID
Authors

Ellen-Wien Augustijn, Raul Zurita-Milla

Abstract

Self-organizing maps (SOMs) have now been applied for a number of years to identify patterns in large datasets; yet, their application in the spatiotemporal domain has been lagging. Here, we demonstrate how spatialtemporal disease diffusion patterns can be analysed using SOMs and Sammon's projection.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Thailand 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Student > Master 14 21%
Researcher 8 12%
Other 5 7%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 10 15%
Readers by discipline Count As %
Earth and Planetary Sciences 10 15%
Computer Science 10 15%
Engineering 9 13%
Medicine and Dentistry 8 12%
Social Sciences 4 6%
Other 10 15%
Unknown 17 25%

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 23 December 2013.
All research outputs
#2,898,111
of 3,632,582 outputs
Outputs from International Journal of Health Geographics
#193
of 246 outputs
Outputs of similar age
#85,958
of 109,967 outputs
Outputs of similar age from International Journal of Health Geographics
#11
of 12 outputs
Altmetric has tracked 3,632,582 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 109,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.