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Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data

Overview of attention for article published in BMC Genomic Data, December 2005
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Title
Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data
Published in
BMC Genomic Data, December 2005
DOI 10.1186/1471-2156-6-s1-s11
Pubmed ID
Authors

Weiva Sieh, Saonli Basu, Audrey Q Fu, Joseph H Rothstein, Paul A Scheet, William CL Stewart, Yun J Sung, Elizabeth A Thompson, Ellen M Wijsman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
France 1 7%
Peru 1 7%
Unknown 11 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Ph. D. Student 3 21%
Professor 1 7%
Student > Master 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 50%
Mathematics 3 21%
Neuroscience 1 7%
Medicine and Dentistry 1 7%
Unknown 2 14%