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Family-based approaches: design, imputation, analysis, and beyond

Overview of attention for article published in BMC Genomic Data, February 2016
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Citations

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Title
Family-based approaches: design, imputation, analysis, and beyond
Published in
BMC Genomic Data, February 2016
DOI 10.1186/s12863-015-0318-5
Pubmed ID
Authors

Ellen M. Wijsman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 9 19%
Student > Doctoral Student 6 13%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 5 10%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 35%
Agricultural and Biological Sciences 12 25%
Mathematics 2 4%
Medicine and Dentistry 2 4%
Immunology and Microbiology 1 2%
Other 4 8%
Unknown 10 21%