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Whole-genome variance components linkage analysis using single-nucleotide polymorphisms versus microsatellites on quantitative traits of derived phenotypes from factor analysis of…

Overview of attention for article published in BMC Genomic Data, December 2005
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Title
Whole-genome variance components linkage analysis using single-nucleotide polymorphisms versus microsatellites on quantitative traits of derived phenotypes from factor analysis of electroencephalogram waves
Published in
BMC Genomic Data, December 2005
DOI 10.1186/1471-2156-6-s1-s15
Pubmed ID
Authors

Yi Yu, Yan Meng, Qianli Ma, John Farrell, Lindsay A Farrer, Marsha A Wilcox

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 33%
Student > Ph. D. Student 2 22%
Researcher 2 22%
Other 1 11%
Librarian 1 11%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Medicine and Dentistry 2 22%
Agricultural and Biological Sciences 1 11%
Psychology 1 11%
Computer Science 1 11%
Other 2 22%