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A modelling framework to simulate foliar fungal epidemics using functional–structural plant models

Overview of attention for article published in Annals of Botany, June 2014
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90 Mendeley
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Article details
Title
A modelling framework to simulate foliar fungal epidemics using functional–structural plant models
Published in
Annals of Botany, June 2014
DOI 10.1093/aob/mcu101
Pubmed ID
Authors
Abstract

Sustainable agriculture requires the identification of new, environmentally responsible strategies of crop protection. Modelling of pathosystems can allow a better understanding of the major interactions inside these dynamic systems and may lead to innovative protection strategies. In particular, functional-structural plant models (FSPMs) have been identified as a means to optimize the use of architecture-related traits. A current limitation lies in the inherent complexity of this type of modelling, and thus the purpose of this paper is to provide a framework to both extend and simplify the modelling of pathosystems using FSPMs.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 2 2%
Belgium 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 11 12%
Student > Bachelor 8 9%
Student > Master 7 8%
Professor > Associate Professor 6 7%
Other 10 11%
Unknown 26 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 40 44%
Computer Science 7 8%
Environmental Science 3 3%
Medicine and Dentistry 2 2%
Engineering 2 2%
Other 4 4%
Unknown 32 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2015.
All research outputs
#14,781,727
of 22,757,090 outputs
Outputs from Annals of Botany
#3,069
of 3,447 outputs
Outputs of similar age
#127,458
of 228,693 outputs
Outputs of similar age from Annals of Botany
#56
of 62 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,447 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.