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Effector Mimics and Integrated Decoys, the Never-Ending Arms Race between Rice and Xanthomonas oryzae

Overview of attention for article published in Frontiers in Plant Science, March 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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7 X users
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1 Facebook page

Citations

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14 Dimensions

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40 Mendeley
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Title
Effector Mimics and Integrated Decoys, the Never-Ending Arms Race between Rice and Xanthomonas oryzae
Published in
Frontiers in Plant Science, March 2017
DOI 10.3389/fpls.2017.00431
Pubmed ID
Authors

Paola Zuluaga, Boris Szurek, Ralf Koebnik, Thomas Kroj, Jean-Benoit Morel

Abstract

Plants are constantly challenged by a wide range of pathogens and have therefore evolved an array of mechanisms to defend against them. In response to these defense systems, pathogens have evolved strategies to avoid recognition and suppress plant defenses (Brown and Tellier, 2011). Three recent reports dealing with the resistance of rice to Xanthomonas oryzae have added a new twist to our understanding of this fascinating co-evolutionary arms race (Ji et al., 2016; Read et al., 2016; Triplett et al., 2016). They show that pathogens also develop sophisticated effector mimics to trick recognition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 8 20%
Student > Doctoral Student 3 8%
Professor > Associate Professor 2 5%
Student > Master 2 5%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 53%
Biochemistry, Genetics and Molecular Biology 4 10%
Medicine and Dentistry 1 3%
Engineering 1 3%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 April 2017.
All research outputs
#6,663,579
of 23,779,713 outputs
Outputs from Frontiers in Plant Science
#3,798
of 21,854 outputs
Outputs of similar age
#104,293
of 309,906 outputs
Outputs of similar age from Frontiers in Plant Science
#103
of 536 outputs
Altmetric has tracked 23,779,713 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 21,854 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% 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 309,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 536 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.