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Mendeley readers
Attention Score in Context
| Title |
Complexity does not affect stability in feasible model communities
|
|---|---|
| Published in |
Journal of Theoretical Biology, March 2008
|
| DOI | 10.1016/j.jtbi.2008.03.001 |
| Pubmed ID | |
| Authors |
Maria Christianou, Giorgos D. Kokkoris |
| Abstract |
The complexity-stability relation is a central issue in ecology. In this paper, we show how the sampling method most often used to parameterize an ecological community, can affect the conclusions about whether or not complexity promotes stability and we suggest a sampling algorithm that overcomes the problem. We also illustrate the importance of treating feasibility separately from stability when constructing model communities. Using model Lotka-Volterra competition communities we found that probability of feasibility decreases with increasing interaction strength and number of species in the community. However, for feasible systems we found that local stability probability and resilience do not significantly differ between communities with few or many species, in contrast with earlier studies that, did not account for feasibility and concluded that species-poor communities had higher probability of being locally stable than species-rich communities. |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 3% |
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| France | 1 | 2% |
| Finland | 1 | 2% |
| Mexico | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 53 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 32% |
| Student > Ph. D. Student | 15 | 24% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Professor | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 38% |
| Environmental Science | 16 | 25% |
| Earth and Planetary Sciences | 6 | 10% |
| Engineering | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 5 | 8% |
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 21 May 2008.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Journal of Theoretical Biology
#2,604
of 4,010 outputs
Outputs of similar age
#82,771
of 96,466 outputs
Outputs of similar age from Journal of Theoretical Biology
#19
of 23 outputs
Altmetric has tracked 25,374,647 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 4,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 25th percentile – i.e., 25% 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 96,466 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 23 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.