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The potential of effector‐target genes in breeding for plant innate immunity

Overview of attention for article published in Microbial Biotechnology, December 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

3 tweeters
1 Facebook page


25 Dimensions

Readers on

130 Mendeley
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The potential of effector‐target genes in breeding for plant innate immunity
Published in
Microbial Biotechnology, December 2012
DOI 10.1111/1751-7915.12023
Pubmed ID

Gawehns, Fleur, Cornelissen, Ben J. C., Takken, Frank L. W.


Increasing numbers of infectious crop diseases that are caused by fungi and oomycetes urge the need to develop alternative strategies for resistance breeding. As an alternative for the use of resistance (R) genes, the application of mutant susceptibility (S) genes has been proposed as a potentially more durable type of resistance. Identification of S genes is hampered by their recessive nature. Here we explore the use of pathogen-derived effectors as molecular probes to identify S genes. Effectors manipulate specific host processes thereby contributing to disease. Effector targets might therefore represent S genes. Indeed, the Pseudomonas syringae effector HopZ2 was found to target MLO2, an Arabidopsis thaliana homologue of the barley S gene Mlo. Unfortunately, most effector targets identified so far are not applicable as S genes due to detrimental effects they have on other traits. However, some effector targets such as Mlo are successfully used, and with the increase in numbers of effector targets being identified, the numbers of S genes that can be used in resistance breeding will rise as well.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
France 2 2%
Australia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Denmark 1 <1%
United States 1 <1%
Netherlands 1 <1%
Unknown 120 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 29%
Researcher 26 20%
Student > Master 16 12%
Student > Bachelor 13 10%
Student > Doctoral Student 12 9%
Other 25 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 85%
Biochemistry, Genetics and Molecular Biology 10 8%
Unspecified 6 5%
Engineering 2 2%
Chemistry 1 <1%
Other 0 0%

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 19 May 2013.
All research outputs
of 6,283,932 outputs
Outputs from Microbial Biotechnology
of 188 outputs
Outputs of similar age
of 98,159 outputs
Outputs of similar age from Microbial Biotechnology
of 3 outputs
Altmetric has tracked 6,283,932 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 47th percentile – i.e., 47% 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 98,159 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them