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NOXious gases and the unpredictability of emerging plant pathogens under climate change

Overview of attention for article published in BMC Biology, May 2017
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1 news outlet
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1 blog
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15 X users

Citations

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31 Dimensions

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75 Mendeley
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Title
NOXious gases and the unpredictability of emerging plant pathogens under climate change
Published in
BMC Biology, May 2017
DOI 10.1186/s12915-017-0376-4
Pubmed ID
Authors

Helen N. Fones, Sarah J. Gurr

Abstract

Emerging pathogens of crops threaten food security and are increasingly problematic due to intensive agriculture and high volumes of trade and transport in plants and plant products. The ability to predict pathogen risk to agricultural regions would therefore be valuable. However, predictions are complicated by multi-faceted relationships between crops, their pathogens, and climate change. Climate change is related to industrialization, which has brought not only a rise in greenhouse gas emissions but also an increase in other atmospheric pollutants. Here, we consider the implications of rising levels of reactive nitrogen gases and their manifold interactions with crops and crop diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Bachelor 9 12%
Student > Ph. D. Student 8 11%
Professor 8 11%
Student > Master 8 11%
Other 12 16%
Unknown 18 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 44%
Biochemistry, Genetics and Molecular Biology 5 7%
Immunology and Microbiology 4 5%
Environmental Science 2 3%
Social Sciences 2 3%
Other 7 9%
Unknown 22 29%