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The Emergence of Environmental Homeostasis in Complex Ecosystems

Overview of attention for article published in PLoS Computational Biology, May 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
13 X users
facebook
4 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
121 Mendeley
citeulike
3 CiteULike
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Title
The Emergence of Environmental Homeostasis in Complex Ecosystems
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003050
Pubmed ID
Authors

James G. Dyke, Iain S. Weaver

Abstract

The Earth, with its core-driven magnetic field, convective mantle, mobile lid tectonics, oceans of liquid water, dynamic climate and abundant life is arguably the most complex system in the known universe. This system has exhibited stability in the sense of, bar a number of notable exceptions, surface temperature remaining within the bounds required for liquid water and so a significant biosphere. Explanations for this range from anthropic principles in which the Earth was essentially lucky, to homeostatic Gaia in which the abiotic and biotic components of the Earth system self-organise into homeostatic states that are robust to a wide range of external perturbations. Here we present results from a conceptual model that demonstrates the emergence of homeostasis as a consequence of the feedback loop operating between life and its environment. Formulating the model in terms of Gaussian processes allows the development of novel computational methods in order to provide solutions. We find that the stability of this system will typically increase then remain constant with an increase in biological diversity and that the number of attractors within the phase space exponentially increases with the number of environmental variables while the probability of the system being in an attractor that lies within prescribed boundaries decreases approximately linearly. We argue that the cybernetic concept of rein control provides insights into how this model system, and potentially any system that is comprised of biological to environmental feedback loops, self-organises into homeostatic states.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Turkey 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
France 1 <1%
Australia 1 <1%
Sweden 1 <1%
Chile 1 <1%
Canada 1 <1%
Other 3 2%
Unknown 106 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 24 20%
Student > Bachelor 13 11%
Student > Master 13 11%
Professor 7 6%
Other 14 12%
Unknown 17 14%
Readers by discipline Count As %
Environmental Science 28 23%
Agricultural and Biological Sciences 22 18%
Earth and Planetary Sciences 13 11%
Computer Science 8 7%
Physics and Astronomy 7 6%
Other 17 14%
Unknown 26 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 08 October 2021.
All research outputs
#431,598
of 25,899,121 outputs
Outputs from PLoS Computational Biology
#294
of 9,068 outputs
Outputs of similar age
#2,894
of 208,737 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 107 outputs
Altmetric has tracked 25,899,121 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 96% 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 208,737 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 98% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.