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Microevolutionary, macroevolutionary, ecological and taxonomical implications of punctuational theories of adaptive evolution

Overview of attention for article published in Biology Direct, January 2013
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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5 tweeters

Citations

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31 Dimensions

Readers on

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50 Mendeley
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Title
Microevolutionary, macroevolutionary, ecological and taxonomical implications of punctuational theories of adaptive evolution
Published in
Biology Direct, January 2013
DOI 10.1186/1745-6150-8-1
Pubmed ID
Authors

Jaroslav Flegr

Abstract

Punctuational theories of evolution suggest that adaptive evolution proceeds mostly, or even entirely, in the distinct periods of existence of a particular species. The mechanisms of this punctuated nature of evolution suggested by the various theories differ. Therefore the predictions of particular theories concerning various evolutionary phenomena also differ.Punctuational theories can be subdivided into five classes, which differ in their mechanism and their evolutionary and ecological implications. For example, the transilience model of Templeton (class III), genetic revolution model of Mayr (class IV) or the frozen plasticity theory of Flegr (class V), suggests that adaptive evolution in sexual species is operative shortly after the emergence of a species by peripatric speciation--while it is evolutionary plastic. To a major degree, i.e. throughout 98-99% of their existence, sexual species are evolutionarily frozen (class III) or elastic (class IV and V) on a microevolutionary time scale and evolutionarily frozen on a macroevolutionary time scale and can only wait for extinction, or the highly improbable return of a population segment to the plastic state due to peripatric speciation.The punctuational theories have many evolutionary and ecological implications. Most of these predictions could be tested empirically, and should be analyzed in greater depth theoretically. The punctuational theories offer many new predictions that need to be tested, but also provide explanations for a much broader spectrum of known biological phenomena than classical gradualistic evolutionary theories.

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

Geographical breakdown

Country Count As %
United States 2 4%
India 1 2%
Sweden 1 2%
Canada 1 2%
Unknown 45 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Student > Master 6 12%
Other 5 10%
Professor 4 8%
Other 11 22%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 60%
Environmental Science 4 8%
Earth and Planetary Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Arts and Humanities 2 4%
Other 4 8%
Unknown 6 12%

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 24 September 2020.
All research outputs
#10,280,827
of 18,950,555 outputs
Outputs from Biology Direct
#278
of 558 outputs
Outputs of similar age
#125,133
of 263,070 outputs
Outputs of similar age from Biology Direct
#2
of 3 outputs
Altmetric has tracked 18,950,555 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 558 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 50% 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 263,070 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 52% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.