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The self-organizing fractal theory as a universal discovery method: the phenomenon of life

Overview of attention for article published in Theoretical Biology and Medical Modelling, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 284)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
facebook
11 Facebook pages
googleplus
2 Google+ users

Citations

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53 Dimensions

Readers on

mendeley
117 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
Title
The self-organizing fractal theory as a universal discovery method: the phenomenon of life
Published in
Theoretical Biology and Medical Modelling, March 2011
DOI 10.1186/1742-4682-8-4
Pubmed ID
Authors

Alexei Kurakin

Abstract

A universal discovery method potentially applicable to all disciplines studying organizational phenomena has been developed. This method takes advantage of a new form of global symmetry, namely, scale-invariance of self-organizational dynamics of energy/matter at all levels of organizational hierarchy, from elementary particles through cells and organisms to the Universe as a whole. The method is based on an alternative conceptualization of physical reality postulating that the energy/matter comprising the Universe is far from equilibrium, that it exists as a flow, and that it develops via self-organization in accordance with the empirical laws of nonequilibrium thermodynamics. It is postulated that the energy/matter flowing through and comprising the Universe evolves as a multiscale, self-similar structure-process, i.e., as a self-organizing fractal. This means that certain organizational structures and processes are scale-invariant and are reproduced at all levels of the organizational hierarchy. Being a form of symmetry, scale-invariance naturally lends itself to a new discovery method that allows for the deduction of missing information by comparing scale-invariant organizational patterns across different levels of the organizational hierarchy.An application of the new discovery method to life sciences reveals that moving electrons represent a keystone physical force (flux) that powers, animates, informs, and binds all living structures-processes into a planetary-wide, multiscale system of electron flow/circulation, and that all living organisms and their larger-scale organizations emerge to function as electron transport networks that are supported by and, at the same time, support the flow of electrons down the Earth's redox gradient maintained along the core-mantle-crust-ocean-atmosphere axis of the planet. The presented findings lead to a radically new perspective on the nature and origin of life, suggesting that living matter is an organizational state/phase of nonliving matter and a natural consequence of the evolution and self-organization of nonliving matter.The presented paradigm opens doors for explosive advances in many disciplines, by uniting them within a single conceptual framework and providing a discovery method that allows for the systematic generation of knowledge through comparison and complementation of empirical data across different sciences and disciplines.

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

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
France 1 <1%
Finland 1 <1%
Germany 1 <1%
Portugal 1 <1%
India 1 <1%
Argentina 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 105 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 23%
Student > Ph. D. Student 23 20%
Student > Bachelor 11 9%
Other 9 8%
Student > Master 9 8%
Other 26 22%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 22%
Medicine and Dentistry 10 9%
Computer Science 9 8%
Engineering 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Other 34 29%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 October 2023.
All research outputs
#1,625,088
of 24,673,288 outputs
Outputs from Theoretical Biology and Medical Modelling
#20
of 284 outputs
Outputs of similar age
#6,479
of 113,186 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 4 outputs
Altmetric has tracked 24,673,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 113,186 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 94% 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 all of them