↓ Skip to main content

On discrete evolutionary dynamics driven by quadratic interactions

Overview of attention for article published in Theory in Biosciences, July 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
2 Mendeley
Title
On discrete evolutionary dynamics driven by quadratic interactions
Published in
Theory in Biosciences, July 2016
DOI 10.1007/s12064-016-0232-z
Pubmed ID
Authors

N. Grosjean, T. Huillet, G. Rollet

Abstract

After an introduction to the general topic of models for a given locus of a diploid population whose quadratic dynamics is determined by a fitness landscape, we consider more specifically the models that can be treated using genetic (or train) algebras. In this setup, any quadratic offspring interaction can produce any type of offspring and after the use of specific changes of basis, we study the evolution and possible stability of some examples. We also consider some examples that cannot be treated using the framework of genetic algebras. Among these are bistochastic matrices.

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Other 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Physics and Astronomy 1 50%
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 22 July 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from Theory in Biosciences
#154
of 195 outputs
Outputs of similar age
#280,375
of 364,404 outputs
Outputs of similar age from Theory in Biosciences
#3
of 4 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 12th percentile – i.e., 12% 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 364,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.