Title |
Navigating the Multilayered Organization of Eukaryotic Signaling: A New Trend in Data Integration
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Published in |
PLoS Computational Biology, February 2014
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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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 17% |
United States | 1 | 17% |
Spain | 1 | 17% |
Peru | 1 | 17% |
China | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 2 | 33% |
Scientists | 1 | 17% |
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% |