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Cell surface and cell outline imaging in plant tissues using the backscattered electron detector in a variable pressure scanning electron microscope

Overview of attention for article published in Plant Methods, October 2013
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 X users

Citations

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43 Dimensions

Readers on

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93 Mendeley
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Title
Cell surface and cell outline imaging in plant tissues using the backscattered electron detector in a variable pressure scanning electron microscope
Published in
Plant Methods, October 2013
DOI 10.1186/1746-4811-9-40
Pubmed ID
Authors

Mark J Talbot, Rosemary G White

Abstract

Scanning electron microscopy (SEM) has been used for high-resolution imaging of plant cell surfaces for many decades. Most SEM imaging employs the secondary electron detector under high vacuum to provide pseudo-3D images of plant organs and especially of surface structures such as trichomes and stomatal guard cells; these samples generally have to be metal-coated to avoid charging artefacts. Variable pressure-SEM allows examination of uncoated tissues, and provides a flexible range of options for imaging, either with a secondary electron detector or backscattered electron detector. In one application, we used the backscattered electron detector under low vacuum conditions to collect images of uncoated barley leaf tissue followed by simple quantification of cell areas.

X Demographics

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Portugal 1 1%
France 1 1%
Belgium 1 1%
Unknown 89 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 16 17%
Student > Master 10 11%
Student > Bachelor 9 10%
Student > Doctoral Student 7 8%
Other 13 14%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 34%
Biochemistry, Genetics and Molecular Biology 9 10%
Materials Science 7 8%
Physics and Astronomy 5 5%
Engineering 4 4%
Other 16 17%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 March 2014.
All research outputs
#7,849,147
of 25,374,647 outputs
Outputs from Plant Methods
#499
of 1,262 outputs
Outputs of similar age
#68,571
of 224,556 outputs
Outputs of similar age from Plant Methods
#6
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,262 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 gotten more attention than average, scoring higher than 60% 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 224,556 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 69% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.