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Decelerating Spread of West Nile Virus by Percolation in a Heterogeneous Urban Landscape

Overview of attention for article published in PLoS Computational Biology, July 2011
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1 X user

Citations

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19 Dimensions

Readers on

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80 Mendeley
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Title
Decelerating Spread of West Nile Virus by Percolation in a Heterogeneous Urban Landscape
Published in
PLoS Computational Biology, July 2011
DOI 10.1371/journal.pcbi.1002104
Pubmed ID
Authors

Krisztian Magori, Waheed I. Bajwa, Sarah Bowden, John M. Drake

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

Geographical breakdown

Country Count As %
Italy 3 4%
United States 3 4%
Australia 1 1%
Thailand 1 1%
Brazil 1 1%
Unknown 71 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 14 18%
Student > Master 11 14%
Student > Doctoral Student 7 9%
Professor > Associate Professor 7 9%
Other 14 18%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 35%
Medicine and Dentistry 10 13%
Environmental Science 7 9%
Biochemistry, Genetics and Molecular Biology 4 5%
Mathematics 3 4%
Other 14 18%
Unknown 14 18%
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 28 July 2011.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#8,207
of 8,960 outputs
Outputs of similar age
#108,383
of 130,276 outputs
Outputs of similar age from PLoS Computational Biology
#57
of 64 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 4th percentile – i.e., 4% 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 130,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.