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Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases

Overview of attention for article published in Clinical and Translational Medicine, June 2014
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70 Mendeley
Title
Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases
Published in
Clinical and Translational Medicine, June 2014
DOI 10.1186/2001-1326-3-16
Pubmed ID
Authors

Xiaodan Wu, Luonan Chen, Xiangdong Wang

Abstract

Identification and validation of interaction networks and network biomarkers have become more critical and important in the development of disease-specific biomarkers, which are functionally changed during disease development, progression or treatment. The present review headlined the definition, significance, research and potential application for network biomarkers, interaction networks and dynamical network biomarkers (DNB). Disease-specific interaction networks, network biomarkers, or DNB have great significance in the understanding of molecular pathogenesis, risk assessment, disease classification and monitoring, or evaluations of therapeutic responses and toxicities. Protein-based DNB will provide more information to define the differences between the normal and pre-disease stages, which might point to early diagnosis for patients. Clinical bioinformatics should be a key approach to the identification and validation of disease-specific biomarkers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 2 3%
Ukraine 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 14 20%
Student > Master 6 9%
Student > Postgraduate 5 7%
Professor 4 6%
Other 10 14%
Unknown 14 20%
Readers by discipline Count As %
Computer Science 13 19%
Agricultural and Biological Sciences 10 14%
Biochemistry, Genetics and Molecular Biology 9 13%
Medicine and Dentistry 8 11%
Engineering 7 10%
Other 7 10%
Unknown 16 23%