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The public goods hypothesis for the evolution of life on Earth

Overview of attention for article published in Biology Direct, August 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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2 blogs
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11 X users
googleplus
1 Google+ user

Citations

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68 Dimensions

Readers on

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173 Mendeley
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1 CiteULike
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Title
The public goods hypothesis for the evolution of life on Earth
Published in
Biology Direct, August 2011
DOI 10.1186/1745-6150-6-41
Pubmed ID
Authors

James O McInerney, Davide Pisani, Eric Bapteste, Mary J O'Connell

Abstract

It is becoming increasingly difficult to reconcile the observed extent of horizontal gene transfers with the central metaphor of a great tree uniting all evolving entities on the planet. In this manuscript we describe the Public Goods Hypothesis and show that it is appropriate in order to describe biological evolution on the planet. According to this hypothesis, nucleotide sequences (genes, promoters, exons, etc.) are simply seen as goods, passed from organism to organism through both vertical and horizontal transfer. Public goods sequences are defined by having the properties of being largely non-excludable (no organism can be effectively prevented from accessing these sequences) and non-rival (while such a sequence is being used by one organism it is also available for use by another organism). The universal nature of genetic systems ensures that such non-excludable sequences exist and non-excludability explains why we see a myriad of genes in different combinations in sequenced genomes. There are three features of the public goods hypothesis. Firstly, segments of DNA are seen as public goods, available for all organisms to integrate into their genomes. Secondly, we expect the evolution of mechanisms for DNA sharing and of defense mechanisms against DNA intrusion in genomes. Thirdly, we expect that we do not see a global tree-like pattern. Instead, we expect local tree-like patterns to emerge from the combination of a commonage of genes and vertical inheritance of genomes by cell division. Indeed, while genes are theoretically public goods, in reality, some genes are excludable, particularly, though not only, when they have variant genetic codes or behave as coalition or club goods, available for all organisms of a coalition to integrate into their genomes, and non-rival within the club. We view the Tree of Life hypothesis as a regionalized instance of the Public Goods hypothesis, just like classical mechanics and euclidean geometry are seen as regionalized instances of quantum mechanics and Riemannian geometry respectively. We argue for this change using an axiomatic approach that shows that the Public Goods hypothesis is a better accommodation of the observed data than the Tree of Life hypothesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Germany 4 2%
United Kingdom 2 1%
Denmark 2 1%
Canada 2 1%
Ireland 2 1%
Brazil 2 1%
South Africa 1 <1%
Netherlands 1 <1%
Other 4 2%
Unknown 146 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 25%
Student > Ph. D. Student 40 23%
Student > Master 24 14%
Student > Doctoral Student 11 6%
Student > Bachelor 10 6%
Other 33 19%
Unknown 12 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 100 58%
Biochemistry, Genetics and Molecular Biology 15 9%
Earth and Planetary Sciences 9 5%
Immunology and Microbiology 7 4%
Environmental Science 4 2%
Other 18 10%
Unknown 20 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 25 September 2020.
All research outputs
#1,918,717
of 25,374,917 outputs
Outputs from Biology Direct
#64
of 537 outputs
Outputs of similar age
#8,933
of 134,460 outputs
Outputs of similar age from Biology Direct
#3
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 88% 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 134,460 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.