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Whole-genome association analysis to identify markers associated with recombination rates using single-nucleotide polymorphisms and microsatellites

Overview of attention for article published in BMC Genomic Data, December 2005
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Title
Whole-genome association analysis to identify markers associated with recombination rates using single-nucleotide polymorphisms and microsatellites
Published in
BMC Genomic Data, December 2005
DOI 10.1186/1471-2156-6-s1-s51
Pubmed ID
Authors

Song Huang, Shuang Wang, Nianjun Liu, Liang Chen, Cheongeun Oh, Hongyu Zhao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Norway 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 38%
Professor > Associate Professor 3 14%
Student > Doctoral Student 2 10%
Student > Postgraduate 2 10%
Student > Ph. D. Student 2 10%
Other 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 57%
Medicine and Dentistry 3 14%
Biochemistry, Genetics and Molecular Biology 1 5%
Environmental Science 1 5%
Earth and Planetary Sciences 1 5%
Other 3 14%