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Toward knowledge support for analysis and interpretation of complex traits

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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Citations

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36 Mendeley
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Title
Toward knowledge support for analysis and interpretation of complex traits
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-9-214
Pubmed ID
Authors

Nigel Collier, Anika Oellrich, Tudor Groza

Abstract

The systematic description of complex traits, from the organism to the cellular level, is important for hypothesis generation about underlying disease mechanisms. We discuss how intelligent algorithms might provide support, leading to faster throughput.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 11%
Netherlands 1 3%
Portugal 1 3%
Germany 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 39%
Student > Ph. D. Student 8 22%
Student > Master 5 14%
Professor > Associate Professor 3 8%
Professor 2 6%
Other 2 6%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 42%
Computer Science 9 25%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Psychology 1 3%
Other 1 3%
Unknown 3 8%