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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.
  19. Altmetric Badge
    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 19: Modeling and Simulation Tools: From Systems Biology to Systems Medicine.
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Chapter title
Modeling and Simulation Tools: From Systems Biology to Systems Medicine.
Chapter number 19
Book title
Systems Medicine
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3283-2_19
Pubmed ID
Book ISBNs
978-1-4939-3282-5, 978-1-4939-3283-2
Authors

Olivier, Brett G, Swat, Maciej J, Moné, Martijn J, Brett G. Olivier, Maciej J. Swat, Martijn J. Moné

Editors

Ulf Schmitz, Olaf Wolkenhauer

Abstract

Modeling is an integral component of modern biology. In this chapter we look into the role of the model, as it pertains to Systems Medicine, and the software that is required to instantiate and run it. We do this by comparing the development, implementation, and characteristics of tools that have been developed to work with two divergent methodologies: Systems Biology and Pharmacometrics. From the Systems Biology perspective we consider the concept of "Software as a Medical Device" and what this may imply for the migration of research-oriented, simulation software into the domain of human health.In our second perspective, we see how in practice hundreds of computational tools already accompany drug discovery and development at every stage of the process. Standardized exchange formats are required to streamline the model exchange between tools, which would minimize translation errors and reduce the required time. With the emergence, almost 15 years ago, of the SBML standard, a large part of the domain of interest is already covered and models can be shared and passed from software to software without recoding them. Until recently the last stage of the process, the pharmacometric analysis used in clinical studies carried out on subject populations, lacked such an exchange medium. We describe a new emerging exchange format in Pharmacometrics which covers the non-linear mixed effects models, the standard statistical model type used in this area. By interfacing these two formats the entire domain can be covered by complementary standards and subsequently the according tools.

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X Demographics

The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 24%
Other 8 22%
Student > Ph. D. Student 8 22%
Student > Bachelor 4 11%
Student > Master 1 3%
Other 1 3%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Biochemistry, Genetics and Molecular Biology 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Computer Science 3 8%
Medicine and Dentistry 3 8%
Other 8 22%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 December 2015.
All research outputs
#14,242,730
of 22,835,198 outputs
Outputs from Methods in molecular biology
#4,193
of 13,126 outputs
Outputs of similar age
#206,000
of 393,568 outputs
Outputs of similar age from Methods in molecular biology
#417
of 1,470 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 393,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.