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Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis

Overview of attention for article published in BMC Proceedings, June 2014
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Title
Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis
Published in
BMC Proceedings, June 2014
DOI 10.1186/1753-6561-8-s1-s82
Pubmed ID
Authors

Qihua Tan, Jacob V B Hjelmborg, Mads Thomassen, Andreas Kryger Jensen, Lene Christiansen, Kaare Christensen, Jing Hua Zhao, Torben A Kruse

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 4 25%
Professor 2 13%
Student > Master 2 13%
Other 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Medicine and Dentistry 5 31%
Agricultural and Biological Sciences 4 25%
Unknown 2 13%