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rosettR: protocol and software for seedling area and growth analysis

Overview of attention for article published in Plant Methods, March 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
rosettR: protocol and software for seedling area and growth analysis
Published in
Plant Methods, March 2017
DOI 10.1186/s13007-017-0163-9
Pubmed ID
Authors

Filipa Tomé, Karel Jansseune, Bernadette Saey, Jack Grundy, Korneel Vandenbroucke, Matthew A. Hannah, Henning Redestig

Abstract

Growth is an important parameter to consider when studying the impact of treatments or mutations on plant physiology. Leaf area and growth rates can be estimated efficiently from images of plants, but the experiment setup, image analysis, and statistical evaluation can be laborious, often requiring substantial manual effort and programming skills. Here we present rosettR, a non-destructive and high-throughput phenotyping protocol for the measurement of total rosette area of seedlings grown in plates in sterile conditions. We demonstrate that our protocol can be used to accurately detect growth differences among different genotypes and in response to light regimes and osmotic stress. rosettR is implemented as a package for the statistical computing software R and provides easy to use functions to design an experiment, analyze the images, and generate reports on quality control as well as a final comparison across genotypes and applied treatments. Experiment procedures are included as part of the package documentation. Using rosettR it is straight-forward to perform accurate, reproducible measurements of rosette area and relative growth rate with high-throughput using inexpensive equipment. Suitable applications include screening mutant populations for growth phenotypes visible at early growth stages and profiling different genotypes in a wide variety of treatments.

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X Demographics

The data shown below were collected from the profiles of 7 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 12 22%
Student > Master 8 15%
Student > Bachelor 3 6%
Professor 3 6%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 46%
Computer Science 7 13%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 2 4%
Environmental Science 1 2%
Other 2 4%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2017.
All research outputs
#6,529,755
of 24,844,992 outputs
Outputs from Plant Methods
#375
of 1,210 outputs
Outputs of similar age
#98,044
of 313,172 outputs
Outputs of similar age from Plant Methods
#10
of 24 outputs
Altmetric has tracked 24,844,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 68% 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 313,172 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 68% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.