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Systems Medicine

Overview of attention for book
Cover of 'Systems Medicine'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Systems Medicine: Sketching the Landscape.
  3. Altmetric Badge
    Chapter 2 Taking Bioinformatics to Systems Medicine.
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    Chapter 3 Systems Medicine: The Future of Medical Genomics, Healthcare, and Wellness.
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    Chapter 4 Next-Generation Pathology
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    Chapter 5 Training in Systems Approaches for the Next Generation of Life Scientists and Medical Doctors.
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    Chapter 6 Systems Medicine in Pharmaceutical Research and Development.
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    Chapter 7 Systems Medicine and Infection
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    Chapter 8 Systems Medicine for Lung Diseases: Phenotypes and Precision Medicine in Cancer, Infection, and Allergy.
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    Chapter 9 Third-Kind Encounters in Biomedicine: Immunology Meets Mathematics and Informatics to Become Quantitative and Predictive.
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    Chapter 10 Systems Medicine in Oncology: Signaling Network Modeling and New-Generation Decision-Support Systems.
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    Chapter 11 Neurological Diseases from a Systems Medicine Point of View.
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    Chapter 12 Computational Modeling of Human Metabolism and Its Application to Systems Biomedicine.
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    Chapter 13 From Systems Understanding to Personalized Medicine: Lessons and Recommendations Based on a Multidisciplinary and Translational Analysis of COPD.
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    Chapter 14 RNA Systems Biology for Cancer: From Diagnosis to Therapy.
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    Chapter 15 Mathematical Models of Pluripotent Stem Cells: At the Dawn of Predictive Regenerative Medicine.
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    Chapter 16 Network-Assisted Disease Classification and Biomarker Discovery.
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    Chapter 17 Anatomy and Physiology of Multiscale Modeling and Simulation in Systems Medicine.
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    Chapter 18 Mathematical and Statistical Techniques for Systems Medicine: The Wnt Signaling Pathway as a Case Study.
  20. Altmetric Badge
    Chapter 19 Modeling and Simulation Tools: From Systems Biology to Systems Medicine.
Attention for Chapter 1: Systems Medicine: Sketching the Landscape.
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Chapter title
Systems Medicine: Sketching the Landscape.
Chapter number 1
Book title
Systems Medicine
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3283-2_1
Pubmed ID
Book ISBNs
978-1-4939-3282-5, 978-1-4939-3283-2
Authors

Marc Kirschner

Editors

Ulf Schmitz, Olaf Wolkenhauer

Abstract

To understand the meaning of the term Systems Medicine and to distinguish it from seemingly related other expressions currently in use, such as precision, personalized, -omics, or big data medicine, its underlying history and development into present time needs to be highlighted. Having this development in mind, it becomes evident that Systems Medicine is a genuine concept as well as a novel way of tackling the manifold complexity that occurs in nowadays clinical medicine-and not just a rebranding of what has previously been done in the past. So looking back it seems clear to many in the field that Systems Medicine has its origin in an integrative method to unravel biocomplexity, namely, Systems Biology. Here scientist by now gained useful experience that is on the verge toward implementation in clinical research and practice.Systems Medicine and Systems Biology have the same underlying theoretical principle in systems-based thinking-a methodology to understand complexity that can be traced back to ancient Greece. During the last decade, however, and due to a rapid methodological development in the life sciences and computing/IT technologies, Systems Biology has evolved from a scientific concept into an independent discipline most competent to tackle key questions of biocomplexity-with the potential to transform medicine and how it will be practiced in the future. To understand this process in more detail, the following section will thus give a short summary of the foundation of systems-based thinking and the different developmental stages including systems theory, the development of modern Systems Biology, and its transition into clinical practice. These are the components to pave the way toward Systems Medicine.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Bachelor 6 14%
Other 4 9%
Student > Master 3 7%
Lecturer 2 5%
Other 10 23%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 11 25%
Computer Science 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 4 9%
Engineering 2 5%
Other 9 20%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 October 2016.
All research outputs
#15,385,802
of 22,890,496 outputs
Outputs from Methods in molecular biology
#5,353
of 13,133 outputs
Outputs of similar age
#231,006
of 393,722 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,471 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 393,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.