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ParallABEL: an R library for generalized parallelization of genome-wide association studies

Overview of attention for article published in BMC Bioinformatics, April 2010
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Citations

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58 Mendeley
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6 CiteULike
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Title
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Published in
BMC Bioinformatics, April 2010
DOI 10.1186/1471-2105-11-217
Pubmed ID
Authors

Unitsa Sangket, Surakameth Mahasirimongkol, Wasun Chantratita, Pichaya Tandayya, Yurii S Aulchenko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 3%
Brazil 1 2%
Sweden 1 2%
India 1 2%
United Kingdom 1 2%
New Zealand 1 2%
United States 1 2%
Unknown 50 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 28%
Professor > Associate Professor 8 14%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Professor 6 10%
Other 13 22%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 38%
Biochemistry, Genetics and Molecular Biology 11 19%
Computer Science 9 16%
Engineering 4 7%
Medicine and Dentistry 4 7%
Other 4 7%
Unknown 4 7%