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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, December 2013
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1 Facebook page

Citations

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22 Dimensions

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77 Mendeley
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Title
Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns
Published in
International Journal of Health Geographics, December 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

Mendeley readers

The data shown below were compiled from readership statistics for 77 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 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 14 18%
Researcher 8 10%
Other 6 8%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 15 19%
Readers by discipline Count As %
Computer Science 10 13%
Engineering 10 13%
Earth and Planetary Sciences 10 13%
Medicine and Dentistry 8 10%
Agricultural and Biological Sciences 4 5%
Other 12 16%
Unknown 23 30%
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 23 December 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#573
of 654 outputs
Outputs of similar age
#282,173
of 320,874 outputs
Outputs of similar age from International Journal of Health Geographics
#12
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 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 320,874 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.