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Modeling huanglongbing transmission within a citrus tree

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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16 X users
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3 Facebook pages

Citations

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190 Mendeley
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Title
Modeling huanglongbing transmission within a citrus tree
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2012
DOI 10.1073/pnas.1208326109
Pubmed ID
Authors

Christinah Chiyaka, Burton H. Singer, Susan E. Halbert, J. Glenn Morris, Ariena H. C. van Bruggen

Abstract

The citrus disease huanglongbing (HLB), associated with an uncultured bacterial pathogen, is threatening the citrus industry worldwide. A mathematical model of the transmission of HLB between its psyllid vector and citrus host has been developed to characterize the dynamics of the vector and disease development, focusing on the spread of the pathogen from flush to flush (a newly developing cluster of very young leaves on the expanding terminal end of a shoot) within a tree. This approach differs from that of prior models for vector-transmitted plant diseases where the entire plant is the unit of analysis. Dynamics of vector and host populations are simulated realistically as the flush population approaches complete infection. Model analysis indicates that vector activity is essential for initial infection but is not necessary for continued infection because infection can occur from flush to flush through internal movement in the tree. Flush production, within-tree spread, and latent period are the most important parameters influencing HLB development. The model shows that the effect of spraying of psyllids depends on time of initial spraying, frequency, and efficacy of the insecticides. Similarly, effects of removal of symptomatic flush depend on the frequency of removal and the time of initiation of this practice since the start of the epidemic. Within-tree resistance to spread, possibly affected by inherent or induced resistance, is a major factor affecting epidemic development, supporting the notion that alternate routes of transmission besides that by the vector can be important for epidemic development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Colombia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Israel 1 <1%
China 1 <1%
Mexico 1 <1%
Unknown 180 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 21%
Student > Ph. D. Student 31 16%
Student > Master 31 16%
Student > Doctoral Student 16 8%
Student > Bachelor 12 6%
Other 23 12%
Unknown 38 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 49%
Biochemistry, Genetics and Molecular Biology 14 7%
Environmental Science 10 5%
Mathematics 8 4%
Engineering 4 2%
Other 17 9%
Unknown 43 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 February 2018.
All research outputs
#3,247,909
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#34,363
of 101,438 outputs
Outputs of similar age
#20,657
of 167,769 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#368
of 931 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 167,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 931 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.