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Integrated genetic and computation methods for in planta cytometry

Overview of attention for article published in Nature Methods, April 2012
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197 Mendeley
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Article details
Title
Integrated genetic and computation methods for in planta cytometry
Published in
Nature Methods, April 2012
DOI 10.1038/nmeth.1940
Pubmed ID
Authors
Abstract

We present the coupled use of specifically localized fluorescent gene markers and image processing for automated quantitative analysis of cell growth and genetic activity across living plant tissues. We used fluorescent protein markers to identify cells, create seeds and boundaries for the automatic segmentation of cell geometries and ratiometrically measure gene expression cell by cell in Arabidopsis thaliana.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 2%
United Kingdom 4 2%
France 4 2%
Japan 2 1%
Slovenia 1 <1%
Portugal 1 <1%
Peru 1 <1%
Spain 1 <1%
Germany 1 <1%
Other 4 2%
Unknown 174 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 56 28%
Student > Ph. D. Student 48 24%
Student > Bachelor 21 11%
Student > Master 15 8%
Professor 10 5%
Other 24 12%
Unknown 23 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 117 59%
Biochemistry, Genetics and Molecular Biology 24 12%
Engineering 9 5%
Physics and Astronomy 6 3%
Materials Science 4 2%
Other 14 7%
Unknown 23 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 July 2016.
All research outputs
#16,843,453
of 27,629,830 outputs
Outputs from Nature Methods
#4,718
of 5,730 outputs
Outputs of similar age
#108,454
of 178,855 outputs
Outputs of similar age from Nature Methods
#53
of 75 outputs
Altmetric has tracked 27,629,830 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 178,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.