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Elements of the cellular metabolic structure

Overview of attention for article published in Frontiers in Molecular Biosciences, April 2015
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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16 X users
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1 Facebook page
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1 Google+ user
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2 Redditors

Citations

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38 Dimensions

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59 Mendeley
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Title
Elements of the cellular metabolic structure
Published in
Frontiers in Molecular Biosciences, April 2015
DOI 10.3389/fmolb.2015.00016
Pubmed ID
Authors

Ildefonso M. De la Fuente

Abstract

A large number of studies have demonstrated the existence of metabolic covalent modifications in different molecular structures, which are able to store biochemical information that is not encoded by DNA. Some of these covalent mark patterns can be transmitted across generations (epigenetic changes). Recently, the emergence of Hopfield-like attractor dynamics has been observed in self-organized enzymatic networks, which have the capacity to store functional catalytic patterns that can be correctly recovered by specific input stimuli. Hopfield-like metabolic dynamics are stable and can be maintained as a long-term biochemical memory. In addition, specific molecular information can be transferred from the functional dynamics of the metabolic networks to the enzymatic activity involved in covalent post-translational modulation, so that determined functional memory can be embedded in multiple stable molecular marks. The metabolic dynamics governed by Hopfield-type attractors (functional processes), as well as the enzymatic covalent modifications of specific molecules (structural dynamic processes) seem to represent the two stages of the dynamical memory of cellular metabolism (metabolic memory). Epigenetic processes appear to be the structural manifestation of this cellular metabolic memory. Here, a new framework for molecular information storage in the cell is presented, which is characterized by two functionally and molecularly interrelated systems: a dynamic, flexible and adaptive system (metabolic memory) and an essentially conservative system (genetic memory). The molecular information of both systems seems to coordinate the physiological development of the whole cell.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Poland 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 11 19%
Student > Master 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 4 7%
Other 9 15%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 31%
Biochemistry, Genetics and Molecular Biology 9 15%
Medicine and Dentistry 5 8%
Physics and Astronomy 3 5%
Computer Science 2 3%
Other 6 10%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 January 2021.
All research outputs
#3,152,097
of 24,312,464 outputs
Outputs from Frontiers in Molecular Biosciences
#225
of 4,359 outputs
Outputs of similar age
#40,116
of 268,739 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#3
of 21 outputs
Altmetric has tracked 24,312,464 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,359 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 268,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 21 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 90% of its contemporaries.