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Genomic Selection for Crop Improvement

Overview of attention for book
Attention for Chapter 4: Bayesian Genomic-Enabled Prediction Models for Ordinal and Count Data
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Chapter title
Bayesian Genomic-Enabled Prediction Models for Ordinal and Count Data
Chapter number 4
Book title
Genomic Selection for Crop Improvement
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-63170-7_4
Book ISBNs
978-3-31-963168-4, 978-3-31-963170-7
Authors

Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Master 2 20%
Student > Doctoral Student 2 20%
Unspecified 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 50%
Biochemistry, Genetics and Molecular Biology 1 10%
Unspecified 1 10%
Unknown 3 30%