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Evaluating aggregate effects of rare and common variants in the 1000 Genomes Project exon sequencing data using latent variable structural equation modeling

Overview of attention for article published in BMC Proceedings, November 2011
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Title
Evaluating aggregate effects of rare and common variants in the 1000 Genomes Project exon sequencing data using latent variable structural equation modeling
Published in
BMC Proceedings, November 2011
DOI 10.1186/1753-6561-5-s9-s47
Pubmed ID
Authors

NL Nock, LX Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 15%
Spain 1 8%
Unknown 10 77%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 54%
Student > Master 3 23%
Professor > Associate Professor 1 8%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Mathematics 1 8%
Business, Management and Accounting 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Other 3 23%
Unknown 2 15%