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Systems Medicine

Overview of attention for book
Cover of 'Systems Medicine'

Table of Contents

  1. Altmetric Badge
    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 5: Training in Systems Approaches for the Next Generation of Life Scientists and Medical Doctors.
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Chapter title
Training in Systems Approaches for the Next Generation of Life Scientists and Medical Doctors.
Chapter number 5
Book title
Systems Medicine
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3283-2_5
Pubmed ID
Book ISBNs
978-1-4939-3282-5, 978-1-4939-3283-2
Authors

Rozman, Damjana, Acimovic, Jure, Schmeck, Bernd, Damjana Rozman Ph.D., Jure Acimovic, Bernd Schmeck, Damjana Rozman

Editors

Ulf Schmitz, Olaf Wolkenhauer

Abstract

The last decades have challenged us with novel technologies and abilities to look deep into the human genome of each individual, to screen for numerous metabolites in the blood, to search organs by imaging techniques, and much more. We can collect data from all these measurements from humans with different (usually multifactorial) diseases and, in accordance with ethical rules, store the data safely, locally, or remotely. The human data is growing exponentially, from giga- (10(9)), tera- (10(12)) to peta- (10(15)) and zettabytes (10(21)), both in public and restricted access settings. However, everyone agrees that the technological and information booms have not yet sufficiently reached medicine and have so far only barely influenced the clinical settings. In this chapter, we discuss the opinion that without topping up the education system, it will be difficult to catch up. We propose that in addition to the classical medical education, which is traditionally good and highly respected in European countries, we must find ways on how to introduce into the medical curricula mathematical and big data aspects and insights. Only a global (systems) view on physiology and pathophysiology can break the Gordian knot of many multifactorial diseases where we still don't understand the complexity of disease causes nor we can predict or cure the disease. We believe that the breakthrough is in the systems and interdisciplinary education and training, as early as possible in professional careers. If medical and related students and professionals would be formally educated in such interdisciplinary manner, they could take this knowledge further towards applications in their daily medical practice. We describe the current challenges and scattered best practices of introducing the wider systems medicine topics into the medical education as well as possibilities for systems medicine training at the doctoral and lifelong levels.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Bachelor 4 14%
Student > Master 4 14%
Student > Doctoral Student 2 7%
Lecturer > Senior Lecturer 2 7%
Other 5 18%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 11 39%
Computer Science 3 11%
Business, Management and Accounting 2 7%
Nursing and Health Professions 2 7%
Agricultural and Biological Sciences 2 7%
Other 4 14%
Unknown 4 14%
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 31 October 2022.
All research outputs
#13,574,541
of 23,009,818 outputs
Outputs from Methods in molecular biology
#3,654
of 13,157 outputs
Outputs of similar age
#191,020
of 394,640 outputs
Outputs of similar age from Methods in molecular biology
#350
of 1,471 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 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 70% 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 394,640 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 1,471 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 74% of its contemporaries.