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Stochastic stable population growth in integral projection models: theory and application

Overview of attention for article published in Journal of Mathematical Biology, November 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
189 Mendeley
citeulike
1 CiteULike
Title
Stochastic stable population growth in integral projection models: theory and application
Published in
Journal of Mathematical Biology, November 2006
DOI 10.1007/s00285-006-0044-8
Pubmed ID
Authors

Stephen P. Ellner, Mark Rees

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
France 2 1%
Brazil 2 1%
Switzerland 1 <1%
Mexico 1 <1%
New Zealand 1 <1%
Unknown 174 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 30%
Researcher 41 22%
Student > Master 16 8%
Professor 13 7%
Professor > Associate Professor 13 7%
Other 31 16%
Unknown 18 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 64%
Environmental Science 33 17%
Mathematics 4 2%
Physics and Astronomy 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 8 4%
Unknown 18 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 February 2016.
All research outputs
#5,896,747
of 22,851,489 outputs
Outputs from Journal of Mathematical Biology
#108
of 655 outputs
Outputs of similar age
#32,404
of 155,562 outputs
Outputs of similar age from Journal of Mathematical Biology
#1
of 2 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% of its peers.
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 155,562 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them