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Navigating the Multilayered Organization of Eukaryotic Signaling: A New Trend in Data Integration

Overview of attention for article published in PLoS Computational Biology, February 2014
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Title
Navigating the Multilayered Organization of Eukaryotic Signaling: A New Trend in Data Integration
Published in
PLoS Computational Biology, February 2014
DOI 10.1371/journal.pcbi.1003385
Pubmed ID
Authors

Tapesh Santra, Walter Kolch, Boris N. Kholodenko

Abstract

The ever-increasing capacity of biological molecular data acquisition outpaces our ability to understand the meaningful relationships between molecules in a cell. Multiple databases were developed to store and organize these molecular data. However, emerging fundamental questions about concerted functions of these molecules in hierarchical cellular networks are poorly addressed. Here we review recent advances in the development of publically available databases that help us analyze the signal integration and processing by multilayered networks that specify biological responses in model organisms and human cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 3 4%
United States 2 3%
Hungary 1 1%
Netherlands 1 1%
Brazil 1 1%
South Africa 1 1%
Portugal 1 1%
Czechia 1 1%
Germany 1 1%
Other 2 3%
Unknown 65 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Student > Ph. D. Student 19 24%
Professor 6 8%
Student > Bachelor 5 6%
Lecturer 4 5%
Other 17 22%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 48%
Biochemistry, Genetics and Molecular Biology 17 22%
Computer Science 6 8%
Engineering 3 4%
Chemistry 3 4%
Other 6 8%
Unknown 6 8%