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Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data

Overview of attention for article published in PLOS ONE, September 2010
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Title
Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data
Published in
PLOS ONE, September 2010
DOI 10.1371/journal.pone.0013066
Pubmed ID
Authors

Ilya Kupershmidt, Qiaojuan Jane Su, Anoop Grewal, Suman Sundaresh, Inbal Halperin, James Flynn, Mamatha Shekar, Helen Wang, Jenny Park, Wenwu Cui, Gregory D. Wall, Robert Wisotzkey, Satnam Alag, Saeid Akhtari, Mostafa Ronaghi

Abstract

The investigation of the interconnections between the molecular and genetic events that govern biological systems is essential if we are to understand the development of disease and design effective novel treatments. Microarray and next-generation sequencing technologies have the potential to provide this information. However, taking full advantage of these approaches requires that biological connections be made across large quantities of highly heterogeneous genomic datasets. Leveraging the increasingly huge quantities of genomic data in the public domain is fast becoming one of the key challenges in the research community today.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Canada 3 1%
United Kingdom 3 1%
Japan 2 <1%
Uruguay 1 <1%
India 1 <1%
Ireland 1 <1%
China 1 <1%
Finland 1 <1%
Other 2 <1%
Unknown 184 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 31%
Student > Ph. D. Student 48 23%
Other 17 8%
Professor > Associate Professor 14 7%
Student > Master 11 5%
Other 28 14%
Unknown 24 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 36%
Biochemistry, Genetics and Molecular Biology 29 14%
Medicine and Dentistry 19 9%
Computer Science 18 9%
Engineering 6 3%
Other 31 15%
Unknown 29 14%