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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
250 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

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 250 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 231 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 27%
Researcher 51 20%
Student > Master 34 14%
Student > Doctoral Student 20 8%
Professor 11 4%
Other 35 14%
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 13 5%
Unknown 41 16%
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
#4,306,167
of 26,017,215 outputs
Outputs from Plant Methods
#234
of 1,288 outputs
Outputs of similar age
#35,317
of 213,759 outputs
Outputs of similar age from Plant Methods
#3
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 81% 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 213,759 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 83% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.