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Computational Complementation: A Modelling Approach to Study Signalling Mechanisms during Legume Autoregulation of Nodulation

Overview of attention for article published in PLoS Computational Biology, February 2010
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37 Mendeley
Title
Computational Complementation: A Modelling Approach to Study Signalling Mechanisms during Legume Autoregulation of Nodulation
Published in
PLoS Computational Biology, February 2010
DOI 10.1371/journal.pcbi.1000685
Pubmed ID
Authors

Liqi Han, Jim Hanan, Peter M. Gresshoff

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Netherlands 1 3%
Germany 1 3%
Unknown 33 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 35%
Researcher 8 22%
Professor > Associate Professor 6 16%
Professor 3 8%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 62%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 2 5%
Environmental Science 1 3%
Nursing and Health Professions 1 3%
Other 3 8%
Unknown 4 11%