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Models for inference in dynamic metacommunity systems

Overview of attention for article published in Ecology, August 2010
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Mentioned by

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1 X user

Citations

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95 Dimensions

Readers on

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330 Mendeley
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Title
Models for inference in dynamic metacommunity systems
Published in
Ecology, August 2010
DOI 10.1890/09-1033.1
Pubmed ID
Authors

Robert M. Dorazio, Marc Kéry, J. Andrew Royle, Matthias Plattner

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

Geographical breakdown

Country Count As %
United States 18 5%
Brazil 9 3%
Switzerland 3 <1%
France 3 <1%
Canada 3 <1%
Germany 2 <1%
Australia 2 <1%
United Kingdom 2 <1%
Spain 2 <1%
Other 12 4%
Unknown 274 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 87 26%
Student > Ph. D. Student 84 25%
Student > Master 43 13%
Student > Doctoral Student 23 7%
Other 16 5%
Other 52 16%
Unknown 25 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 180 55%
Environmental Science 92 28%
Biochemistry, Genetics and Molecular Biology 5 2%
Mathematics 3 <1%
Earth and Planetary Sciences 3 <1%
Other 4 1%
Unknown 43 13%
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 12 August 2015.
All research outputs
#16,802,686
of 24,717,821 outputs
Outputs from Ecology
#5,752
of 6,850 outputs
Outputs of similar age
#81,201
of 99,442 outputs
Outputs of similar age from Ecology
#26
of 41 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 9th percentile – i.e., 9% 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 99,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.