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Unburdening evo-devo: ancestral attractions, model organisms, and basal baloney

Overview of attention for article published in Development Genes and Evolution, May 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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3 X users
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3 Wikipedia pages

Citations

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83 Dimensions

Readers on

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145 Mendeley
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3 CiteULike
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1 Connotea
Title
Unburdening evo-devo: ancestral attractions, model organisms, and basal baloney
Published in
Development Genes and Evolution, May 2006
DOI 10.1007/s00427-006-0084-5
Pubmed ID
Authors

Ronald A. Jenner

Abstract

Although flourishing, I argue that evo-devo is not yet a mature scientific discipline. Its philosophical foundation exhibits an internal inconsistency that results from a metaphysical confusion. In modern evolutionary biology, species and other taxa are most commonly considered as individuals. I accept this thesis to be the best available foundation for modern evolutionary biology. However, evo-devo is characterized by a remarkable degree of typological thinking, which instead treats taxa as classes. This metaphysical incompatibility causes much distorted thinking. In this paper, I will discuss the logical implications of accepting the individuality thesis for evo-devo. First, I will illustrate the degree to which typological thinking pervades evo-devo. This ranges from the relatively innocent use of typologically tainted language to the more serious misuse of differences between taxa as evidence against homology and monophyly, and the logically flawed concept of partial homology. Second, I will illustrate how, in a context of typological thinking, evo-devo's harmless preoccupation with distant ancestors has become transformed into a pernicious problem afflicting the choice of model organisms. I will expose the logical flaws underlying the common assumption that model organisms can be expected to represent the clades they are a part of in an unambiguous way. I will expose the logical flaws underlying the general assumption that basal taxa are the best available stand-ins for ancestors and that they best represent the clade of which they are a part, while also allowing for optimal extrapolation of results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 3%
Germany 4 3%
United States 3 2%
United Kingdom 2 1%
Spain 2 1%
Netherlands 1 <1%
Norway 1 <1%
Austria 1 <1%
South Africa 1 <1%
Other 6 4%
Unknown 120 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 32%
Student > Ph. D. Student 24 17%
Professor > Associate Professor 12 8%
Student > Master 12 8%
Student > Bachelor 11 8%
Other 28 19%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 65%
Biochemistry, Genetics and Molecular Biology 16 11%
Earth and Planetary Sciences 6 4%
Environmental Science 5 3%
Philosophy 3 2%
Other 6 4%
Unknown 15 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 November 2019.
All research outputs
#6,203,602
of 23,815,455 outputs
Outputs from Development Genes and Evolution
#107
of 495 outputs
Outputs of similar age
#19,808
of 65,803 outputs
Outputs of similar age from Development Genes and Evolution
#2
of 4 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 495 research outputs from this source. They receive a mean Attention Score of 4.3. 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 65,803 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 69% of its contemporaries.
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. This one has scored higher than 2 of them.