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Effector-Mining in the Poplar Rust Fungus Melampsora larici-populina Secretome

Overview of attention for article published in Frontiers in Plant Science, December 2015
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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17 X users

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58 Mendeley
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Title
Effector-Mining in the Poplar Rust Fungus Melampsora larici-populina Secretome
Published in
Frontiers in Plant Science, December 2015
DOI 10.3389/fpls.2015.01051
Pubmed ID
Authors

Cécile Lorrain, Arnaud Hecker, Sébastien Duplessis

Abstract

The poplar leaf rust fungus, Melampsora larici-populina has been established as a tree-microbe interaction model. Understanding the molecular mechanisms controlling infection by pathogens appears essential for durable management of tree plantations. In biotrophic plant-parasites, effectors are known to condition host cell colonization. Thus, investigation of candidate secreted effector proteins (CSEPs) is a major goal in the poplar-poplar rust interaction. Unlike oomycetes, fungal effectors do not share conserved motifs and candidate prediction relies on a set of a priori criteria established from reported bona fide effectors. Secretome prediction, genome-wide analysis of gene families and transcriptomics of M. larici-populina have led to catalogs of more than a thousand secreted proteins. Automatized effector-mining pipelines hold great promise for rapid and systematic identification and prioritization of CSEPs for functional characterization. In this review, we report on and discuss the current status of the poplar rust fungus secretome and prediction of candidate effectors from this species.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
United States 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 9 16%
Student > Master 8 14%
Student > Doctoral Student 6 10%
Student > Bachelor 2 3%
Other 8 14%
Unknown 12 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 50%
Biochemistry, Genetics and Molecular Biology 10 17%
Environmental Science 1 2%
Immunology and Microbiology 1 2%
Neuroscience 1 2%
Other 2 3%
Unknown 14 24%
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 17 July 2016.
All research outputs
#3,414,665
of 25,371,288 outputs
Outputs from Frontiers in Plant Science
#1,746
of 24,593 outputs
Outputs of similar age
#54,206
of 396,206 outputs
Outputs of similar age from Frontiers in Plant Science
#15
of 364 outputs
Altmetric has tracked 25,371,288 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 24,593 research outputs from this source. They receive a mean Attention Score of 3.9. 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 396,206 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 85% of its contemporaries.
We're also able to compare this research output to 364 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 95% of its contemporaries.