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Hyperspectral imaging to characterize plant–plant communication in response to insect herbivory

Overview of attention for article published in Plant Methods, July 2018
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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 (88th percentile)

Mentioned by

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1 news outlet
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6 X users
peer_reviews
1 peer review site

Citations

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24 Dimensions

Readers on

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82 Mendeley
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Title
Hyperspectral imaging to characterize plant–plant communication in response to insect herbivory
Published in
Plant Methods, July 2018
DOI 10.1186/s13007-018-0322-7
Pubmed ID
Authors

Leandro do Prado Ribeiro, Adriana Lídia Santana Klock, João Américo Wordell Filho, Marco Aurélio Tramontin, Marília Almeida Trapp, Axel Mithöfer, Christian Nansen

Abstract

In studies of plant stress signaling, a major challenge is the lack of non-invasive methods to detect physiological plant responses and to characterize plant-plant communication over time and space. We acquired time series of phytocompound and hyperspectral imaging data from maize plants from the following treatments: (1) individual non-infested plants, (2) individual plants experimentally subjected to herbivory by green belly stink bug (no visible symptoms of insect herbivory), (3) one plant subjected to insect herbivory and one control plant in a separate pot but inside the same cage, and (4) one plant subjected to insect herbivory and one control plant together in the same pot. Individual phytocompounds (except indole-3acetic acid) or spectral bands were not reliable indicators of neither insect herbivory nor plant-plant communication. However, using a linear discrimination classification method based on combinations of either phytocompounds or spectral bands, we found clear evidence of maize plant responses. We have provided initial evidence of how hyperspectral imaging may be considered a powerful non-invasive method to increase our current understanding of both direct plant responses to biotic stressors but also to the multiple ways plant communities are able to communicate. We are unaware of any published studies, in which comprehensive phytocompound data have been shown to correlate with leaf reflectance. In addition, we are unaware of published studies, in which plant-plant communication was studied based on leaf reflectance.

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X Demographics

The data shown below were collected from the profiles of 6 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 20%
Researcher 11 13%
Student > Ph. D. Student 11 13%
Student > Bachelor 8 10%
Student > Doctoral Student 4 5%
Other 9 11%
Unknown 23 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 48%
Environmental Science 7 9%
Engineering 3 4%
Biochemistry, Genetics and Molecular Biology 1 1%
Physics and Astronomy 1 1%
Other 3 4%
Unknown 28 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 September 2023.
All research outputs
#2,510,472
of 24,364,603 outputs
Outputs from Plant Methods
#124
of 1,175 outputs
Outputs of similar age
#51,087
of 331,772 outputs
Outputs of similar age from Plant Methods
#5
of 34 outputs
Altmetric has tracked 24,364,603 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,175 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 done well, scoring higher than 89% 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 331,772 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 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.