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A stochastic version of the Price equation reveals the interplay of deterministic and stochastic processes in evolution

Overview of attention for article published in BMC Evolutionary Biology, January 2008
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
5 tweeters

Citations

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61 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
A stochastic version of the Price equation reveals the interplay of deterministic and stochastic processes in evolution
Published in
BMC Evolutionary Biology, January 2008
DOI 10.1186/1471-2148-8-262
Pubmed ID
Authors

Sean H Rice

Abstract

Evolution involves both deterministic and random processes, both of which are known to contribute to directional evolutionary change. A number of studies have shown that when fitness is treated as a random variable, meaning that each individual has a distribution of possible fitness values, then both the mean and variance of individual fitness distributions contribute to directional evolution. Unfortunately the most general mathematical description of evolution that we have, the Price equation, is derived under the assumption that both fitness and offspring phenotype are fixed values that are known exactly. The Price equation is thus poorly equipped to study an important class of evolutionary processes.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 7%
United Kingdom 4 3%
Germany 3 2%
Brazil 2 1%
Spain 2 1%
Canada 2 1%
Switzerland 1 <1%
South Africa 1 <1%
Turkey 1 <1%
Other 1 <1%
Unknown 119 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 34%
Student > Ph. D. Student 32 22%
Professor > Associate Professor 15 10%
Student > Master 13 9%
Professor 10 7%
Other 17 12%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 62%
Environmental Science 10 7%
Mathematics 6 4%
Physics and Astronomy 3 2%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 18 12%
Unknown 15 10%

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 31 January 2019.
All research outputs
#4,304,929
of 14,218,657 outputs
Outputs from BMC Evolutionary Biology
#1,302
of 2,599 outputs
Outputs of similar age
#37,415
of 125,115 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 14,218,657 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 40th percentile – i.e., 40% 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 125,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
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