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Effector-triggered post-translational modifications and their role in suppression of plant immunity

Overview of attention for article published in Frontiers in Plant Science, January 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 news outlet
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1 X user

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126 Mendeley
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Title
Effector-triggered post-translational modifications and their role in suppression of plant immunity
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00160
Pubmed ID
Authors

Andrew J. M. Howden, Edgar Huitema

Abstract

Plant-pathogen interactions feature complex signaling exchanges between host and microbes that ultimately determine association outcomes. Plants deploy pattern recognition receptors to perceive pathogen-associated molecular patterns, mount pattern-triggered immunity (PTI), and fend off potential pathogens. In recent years an increasing number of defense-signaling components have been identified along with a mechanistic understanding of their regulation during immune responses. Post-translational modifications (PTMs) are now thought to play a crucial role in regulating defense signaling. In a bid to suppress PTI and infect their host, pathogens have evolved large repertoires of effectors that trigger susceptibility and allow colonization of host tissues. While great progress has been made in elucidating defense-signaling networks in plants and the activities of effectors in immune suppression, a critical gap exists in our understanding of effector mechanism-of-action. Given the importance of PTMs in the regulation of defense signaling, we will explore the question: how do effectors modify the post-translational status of host proteins and thus interfere with host processes required for immunity? We will consider how emerging proteomics-based experimental strategies may help us answer this important question and ultimately open the pathogens' effector black box.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United Kingdom 2 2%
Sweden 1 <1%
India 1 <1%
South Africa 1 <1%
Canada 1 <1%
Mexico 1 <1%
Unknown 116 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Researcher 27 21%
Student > Master 17 13%
Student > Doctoral Student 10 8%
Student > Bachelor 9 7%
Other 20 16%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 71%
Biochemistry, Genetics and Molecular Biology 17 13%
Environmental Science 2 2%
Unspecified 1 <1%
Immunology and Microbiology 1 <1%
Other 2 2%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 March 2021.
All research outputs
#2,920,328
of 22,675,759 outputs
Outputs from Frontiers in Plant Science
#1,468
of 19,843 outputs
Outputs of similar age
#23,953
of 244,088 outputs
Outputs of similar age from Frontiers in Plant Science
#13
of 195 outputs
Altmetric has tracked 22,675,759 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 19,843 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% 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 244,088 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 89% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.