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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On Genetic Specificity in Symbiont-Mediated Host-Parasite Coevolution
|
|---|---|
| Published in |
PLoS Computational Biology, August 2012
|
| DOI | 10.1371/journal.pcbi.1002633 |
| Pubmed ID | |
| Authors |
Marek Kwiatkowski, Jan Engelstädter, Christoph Vorburger |
| Abstract |
Existing theory of host-parasite interactions has identified the genetic specificity of interaction as a key variable affecting the outcome of coevolution. The Matching Alleles (MA) and Gene For Gene (GFG) models have been extensively studied as the canonical examples of specific and non-specific interaction. The generality of these models has recently been challenged by uncovering real-world host-parasite systems exhibiting specificity patterns that fit neither MA nor GFG, and by the discovery of symbiotic bacteria protecting insect hosts against parasites. In the present paper we address both challenges, simulating a large number of non-canonical models of host-parasite interactions that explicitly incorporate symbiont-based host resistance. To assess the genetic specialisation in these hybrid models, we develop a quantitative index of specificity applicable to any coevolutionary model based on a fitness matrix. We find qualitative and quantitative effects of host-parasite and symbiont-parasite specificities on genotype frequency dynamics, allele survival, and mean host and parasite fitnesses. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| Denmark | 1 | 1% |
| Peru | 1 | 1% |
| Unknown | 74 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 30% |
| Researcher | 20 | 24% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 62% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Immunology and Microbiology | 4 | 5% |
| Environmental Science | 2 | 2% |
| Mathematics | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 October 2014.
All research outputs
#2,252,894
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#2,022
of 8,960 outputs
Outputs of similar age
#14,649
of 187,624 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 98 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 77% 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 187,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.