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High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis

Overview of attention for article published in Plant Methods, June 2013
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
247 Mendeley
citeulike
3 CiteULike
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Title
High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis
Published in
Plant Methods, June 2013
DOI 10.1186/1746-4811-9-17
Pubmed ID
Authors

Céline Rousseau, Etienne Belin, Edouard Bove, David Rousseau, Frédéric Fabre, Romain Berruyer, Jacky Guillaumès, Charles Manceau, Marie-Agnès Jacques, Tristan Boureau

Abstract

In order to select for quantitative plant resistance to pathogens, high throughput approaches that can precisely quantify disease severity are needed. Automation and use of calibrated image analysis should provide more accurate, objective and faster analyses than visual assessments. In contrast to conventional visible imaging, chlorophyll fluorescence imaging is not sensitive to environmental light variations and provides single-channel images prone to a segmentation analysis by simple thresholding approaches. Among the various parameters used in chlorophyll fluorescence imaging, the maximum quantum yield of photosystem II photochemistry (Fv/Fm) is well adapted to phenotyping disease severity. Fv/Fm is an indicator of plant stress that displays a robust contrast between infected and healthy tissues. In the present paper, we aimed at the segmentation of Fv/Fm images to quantify disease severity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
France 3 1%
Brazil 3 1%
Germany 2 <1%
Spain 2 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Chile 1 <1%
Other 2 <1%
Unknown 228 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 27%
Researcher 51 21%
Student > Master 34 14%
Student > Doctoral Student 20 8%
Professor 11 4%
Other 32 13%
Unknown 32 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 60%
Biochemistry, Genetics and Molecular Biology 17 7%
Engineering 13 5%
Computer Science 9 4%
Environmental Science 8 3%
Other 10 4%
Unknown 41 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 October 2013.
All research outputs
#3,589,473
of 22,716,996 outputs
Outputs from Plant Methods
#187
of 1,075 outputs
Outputs of similar age
#31,318
of 196,887 outputs
Outputs of similar age from Plant Methods
#1
of 12 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 196,887 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 84% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.