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Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors

Overview of attention for article published in BMC Plant Biology, March 2019
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35 Mendeley
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Title
Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors
Published in
BMC Plant Biology, March 2019
DOI 10.1186/s12870-019-1685-2
Pubmed ID
Authors

Konstantin Kozlov, Anupam Singh, Jens Berger, Eric Bishop-von Wettberg, Abdullah Kahraman, Abdulkadir Aydogan, Douglas Cook, Sergey Nuzhdin, Maria Samsonova

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Other 3 9%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 13 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 20%
Computer Science 3 9%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Social Sciences 2 6%
Other 4 11%
Unknown 14 40%