↓ Skip to main content

Improving crop disease resistance: lessons from research on Arabidopsis and tomato

Overview of attention for article published in Frontiers in Plant Science, December 2014
Altmetric Badge

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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
25 X users

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
291 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improving crop disease resistance: lessons from research on Arabidopsis and tomato
Published in
Frontiers in Plant Science, December 2014
DOI 10.3389/fpls.2014.00671
Pubmed ID
Authors

Sophie J M Piquerez, Sarah E Harvey, Jim L Beynon, Vardis Ntoukakis

Abstract

One of the great challenges for food security in the 21st century is to improve yield stability through the development of disease-resistant crops. Crop research is often hindered by the lack of molecular tools, growth logistics, generation time and detailed genetic annotations, hence the power of model plant species. Our knowledge of plant immunity today has been largely shaped by the use of models, specifically through the use of mutants. We examine the importance of Arabidopsis and tomato as models in the study of plant immunity and how they help us in revealing a detailed and deep understanding of the various layers contributing to the immune system. Here we describe examples of how knowledge from models can be transferred to economically important crops resulting in new tools to enable and accelerate classical plant breeding. We will also discuss how models, and specifically transcriptomics and effectoromics approaches, have contributed to the identification of core components of the defense response which will be key to future engineering of durable and sustainable disease resistance in plants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Sweden 1 <1%
Germany 1 <1%
Unknown 287 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 23%
Researcher 42 14%
Student > Master 41 14%
Student > Bachelor 35 12%
Student > Doctoral Student 16 5%
Other 41 14%
Unknown 49 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 150 52%
Biochemistry, Genetics and Molecular Biology 59 20%
Business, Management and Accounting 4 1%
Environmental Science 4 1%
Engineering 4 1%
Other 18 6%
Unknown 52 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 20 July 2019.
All research outputs
#2,198,561
of 24,674,524 outputs
Outputs from Frontiers in Plant Science
#904
of 23,478 outputs
Outputs of similar age
#30,417
of 371,605 outputs
Outputs of similar age from Frontiers in Plant Science
#12
of 197 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,478 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 371,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 197 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 94% of its contemporaries.