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Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

Overview of attention for article published in BMC Proceedings, May 2011
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Citations

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Title
Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies
Published in
BMC Proceedings, May 2011
DOI 10.1186/1753-6561-5-s3-s8
Pubmed ID
Authors

Burak Karacaören, Tomi Silander, José M Álvarez-Castro, Chris S Haley, Dirk Jan de Koning

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Student > Ph. D. Student 4 33%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 75%
Environmental Science 1 8%
Computer Science 1 8%
Engineering 1 8%