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Connecting deterministic and stochastic metapopulation models

Overview of attention for article published in Journal of Mathematical Biology, March 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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2 X users

Citations

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9 Dimensions

Readers on

mendeley
24 Mendeley
Title
Connecting deterministic and stochastic metapopulation models
Published in
Journal of Mathematical Biology, March 2015
DOI 10.1007/s00285-015-0865-4
Pubmed ID
Authors

A. D. Barbour, R. McVinish, P. K. Pollett

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 7 29%
Student > Bachelor 2 8%
Lecturer 2 8%
Student > Master 2 8%
Other 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 42%
Mathematics 7 29%
Environmental Science 4 17%
Computer Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 1 4%
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 29 January 2014.
All research outputs
#20,056,512
of 25,515,042 outputs
Outputs from Journal of Mathematical Biology
#507
of 760 outputs
Outputs of similar age
#188,818
of 273,028 outputs
Outputs of similar age from Journal of Mathematical Biology
#7
of 13 outputs
Altmetric has tracked 25,515,042 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 760 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 29th percentile – i.e., 29% 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 273,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.