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Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology

Overview of attention for article published in Frontiers in Plant Science, February 2017
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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35 X users
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1 Facebook page

Citations

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45 Dimensions

Readers on

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157 Mendeley
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Title
Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00117
Pubmed ID
Authors

Mathilde Balduzzi, Brad M. Binder, Alexander Bucksch, Cynthia Chang, Lilan Hong, Anjali S. Iyer-Pascuzzi, Christophe Pradal, Erin E. Sparks

Abstract

An emerging challenge in plant biology is to develop qualitative and quantitative measures to describe the appearance of plants through the integration of mathematics and biology. A major hurdle in developing these metrics is finding common terminology across fields. In this review, we define approaches for analyzing plant geometry, topology, and shape, and provide examples for how these terms have been and can be applied to plants. In leaf morphological quantifications both geometry and shape have been used to gain insight into leaf function and evolution. For the analysis of cell growth and expansion, we highlight the utility of geometric descriptors for understanding sepal and hypocotyl development. For branched structures, we describe how topology has been applied to quantify root system architecture to lend insight into root function. Lastly, we discuss the importance of using morphological descriptors in ecology to assess how communities interact, function, and respond within different environments. This review aims to provide a basic description of the mathematical principles underlying morphological quantifications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Researcher 29 18%
Student > Master 19 12%
Student > Doctoral Student 11 7%
Student > Bachelor 10 6%
Other 24 15%
Unknown 31 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 51%
Biochemistry, Genetics and Molecular Biology 9 6%
Environmental Science 8 5%
Engineering 6 4%
Computer Science 4 3%
Other 10 6%
Unknown 40 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 07 March 2017.
All research outputs
#1,821,039
of 24,518,979 outputs
Outputs from Frontiers in Plant Science
#657
of 23,233 outputs
Outputs of similar age
#38,894
of 429,375 outputs
Outputs of similar age from Frontiers in Plant Science
#14
of 505 outputs
Altmetric has tracked 24,518,979 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,233 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 429,375 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 90% of its contemporaries.
We're also able to compare this research output to 505 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 97% of its contemporaries.