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A Dynamic Energy Budget model based on partitioning of net production

Overview of attention for article published in Journal of Mathematical Biology, October 2000
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Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
85 Mendeley
Title
A Dynamic Energy Budget model based on partitioning of net production
Published in
Journal of Mathematical Biology, October 2000
DOI 10.1007/s002850000049
Pubmed ID
Authors

Konstadia Lika, Roger M. Nisbet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Belgium 2 2%
South Africa 1 1%
India 1 1%
Germany 1 1%
Mexico 1 1%
Portugal 1 1%
United Kingdom 1 1%
Argentina 1 1%
Other 0 0%
Unknown 74 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 29%
Student > Ph. D. Student 13 15%
Student > Master 11 13%
Professor 11 13%
Student > Bachelor 6 7%
Other 16 19%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 51%
Environmental Science 20 24%
Earth and Planetary Sciences 4 5%
Mathematics 4 5%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 3 4%
Unknown 9 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 August 2019.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from Journal of Mathematical Biology
#157
of 664 outputs
Outputs of similar age
#12,457
of 37,763 outputs
Outputs of similar age from Journal of Mathematical Biology
#1
of 1 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 664 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 37,763 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 1 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