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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.
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    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 13: From Systems Understanding to Personalized Medicine: Lessons and Recommendations Based on a Multidisciplinary and Translational Analysis of COPD.
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Citations

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Chapter title
From Systems Understanding to Personalized Medicine: Lessons and Recommendations Based on a Multidisciplinary and Translational Analysis of COPD.
Chapter number 13
Book title
Systems Medicine
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3283-2_13
Pubmed ID
Book ISBNs
978-1-4939-3282-5, 978-1-4939-3283-2
Authors

Roca, Josep, Cano, Isaac, Gomez-Cabrero, David, Tegnér, Jesper, Josep Roca, Isaac Cano, David Gomez-Cabrero, Jesper Tegnér

Editors

Ulf Schmitz, Olaf Wolkenhauer

Abstract

Systems medicine, using and adapting methods and approaches as developed within systems biology, promises to be essential in ongoing efforts of realizing and implementing personalized medicine in clinical practice and research. Here we review and critically assess these opportunities and challenges using our work on COPD as a case study. We find that there are significant unresolved biomedical challenges in how to unravel complex multifactorial components in disease initiation and progression producing different clinical phenotypes. Yet, while such a systems understanding of COPD is necessary, there are other auxiliary challenges that need to be addressed in concert with a systems analysis of COPD. These include information and communication technology (ICT)-related issues such as data harmonization, systematic handling of knowledge, computational modeling, and importantly their translation and support of clinical practice. For example, clinical decision-support systems need a seamless integration with new models and knowledge as systems analysis of COPD continues to develop. Our experience with clinical implementation of systems medicine targeting COPD highlights the need for a change of management including design of appropriate business models and adoption of ICT providing and supporting organizational interoperability among professional teams across healthcare tiers, working around the patient. In conclusion, in our hands the scope and efforts of systems medicine need to concurrently consider these aspects of clinical implementation, which inherently drives the selection of the most relevant and urgent issues and methods that need further development in a systems analysis of disease.

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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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Bachelor 9 14%
Researcher 9 14%
Other 5 8%
Student > Master 5 8%
Other 7 11%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Computer Science 11 17%
Business, Management and Accounting 4 6%
Nursing and Health Professions 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 11 17%
Unknown 18 28%
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 19 December 2015.
All research outputs
#15,164,176
of 23,322,258 outputs
Outputs from Methods in molecular biology
#4,834
of 13,331 outputs
Outputs of similar age
#221,812
of 396,134 outputs
Outputs of similar age from Methods in molecular biology
#473
of 1,474 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,331 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 59% 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 396,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,474 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 62% of its contemporaries.