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Systems Biology

Overview of attention for book
Cover of 'Systems Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Conceptual Challenges in the Theoretical Foundations of Systems Biology
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    Chapter 2 An Integrative Approach Toward Biology, Organisms, and Cancer
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    Chapter 3 Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation
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    Chapter 4 A Primer on Mathematical Modeling in the Study of Organisms and Their Parts
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    Chapter 5 The Search for System’s Parameters
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    Chapter 6 Inverse Problems in Systems Biology: A Critical Review
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    Chapter 7 Systems Biology Approach and Mathematical Modeling for Analyzing Phase-Space Switch During Epithelial-Mesenchymal Transition
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    Chapter 8 Parameters Estimation in Phase-Space Landscape Reconstruction of Cell Fate: A Systems Biology Approach
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    Chapter 9 Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models
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    Chapter 10 Systems Biology Modeling of Nonlinear Cancer Dynamics
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    Chapter 11 Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach
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    Chapter 12 A Network-Based Integrative Workflow to Unravel Mechanisms Underlying Disease Progression
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    Chapter 13 Spatiotemporal Fluctuation Analysis of Molecular Diffusion Laws in Live-Cell Membranes
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    Chapter 14 A Method for Cross-Species Visualization and Analysis of RNA-Sequence Data
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    Chapter 15 Multi-agent Simulations of Population Behavior: A Promising Tool for Systems Biology
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    Chapter 16 Metabolomics: Challenges and Opportunities in Systems Biology Studies
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    Chapter 17 Systems Biology-Driven Hypotheses Tested In Vivo: The Need to Advancing Molecular Imaging Tools
Attention for Chapter 2: An Integrative Approach Toward Biology, Organisms, and Cancer
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  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Chapter title
An Integrative Approach Toward Biology, Organisms, and Cancer
Chapter number 2
Book title
Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7456-6_2
Pubmed ID
Book ISBNs
978-1-4939-7455-9, 978-1-4939-7456-6
Authors

Carlos Sonnenschein, Ana M. Soto, Sonnenschein, Carlos, Soto, Ana M.

Abstract

Over the last two decades, we have challenged the hegemony of the somatic mutation theory of carcinogenesis (SMT) based on the lack of theoretical coherence of the premises adopted by its followers. We offered instead a theoretical alternative, the tissue organization field theory (TOFT), that is based on the premises that cancer is a tissue-based disease and that proliferation and motility is the default state of all cells. We went on to use a theory-neutral experimental protocol that simultaneously tested the TOFT and the SMT. The results of this test favored adopting the TOFT and rejecting the SMT. Recently, an analysis of the differences between the Physics of the inanimate and that of the living matter has led us to propose principles for the construction of a much needed theory of organisms. The three biological principles are (a) a default state, (b) a principle of variation, and (c) one of organization. The TOFT, defined as "development gone awry," fits well within the principles that we propose for a theory of organisms. This radical conceptual change opened up the possibility of anchoring mathematical modeling on genuine biological principles. By identifying constraints to the default state, multilevel biomechanical explanations become as legitimate as the molecular ones on which other modelers that adopt the SMT rely. Expanding research based on the premises of our theory of organisms will enrich a comprehensive understanding of normal development and of the one that goes awry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Other 4 22%
Professor > Associate Professor 2 11%
Lecturer 1 6%
Student > Master 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Biochemistry, Genetics and Molecular Biology 4 22%
Arts and Humanities 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 December 2017.
All research outputs
#14,327,650
of 24,943,708 outputs
Outputs from Methods in molecular biology
#3,651
of 14,005 outputs
Outputs of similar age
#220,247
of 454,419 outputs
Outputs of similar age from Methods in molecular biology
#300
of 1,484 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,005 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 73% 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 454,419 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 50% of its contemporaries.
We're also able to compare this research output to 1,484 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.