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Emission spectra profiling of fluorescent proteins in living plant cells

Overview of attention for article published in Plant Methods, April 2013
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Title
Emission spectra profiling of fluorescent proteins in living plant cells
Published in
Plant Methods, April 2013
DOI 10.1186/1746-4811-9-10
Pubmed ID
Authors

Evelien Mylle, Mirela-Corina Codreanu, Joanna Boruc, Eugenia Russinova

Abstract

Fluorescence imaging at high spectral resolution allows the simultaneous recording of multiple fluorophores without switching optical filters, which is especially useful for time-lapse analysis of living cells. The collected emission spectra can be used to distinguish fluorophores by a computation analysis called linear unmixing. The availability of accurate reference spectra for different fluorophores is crucial for this type of analysis. The reference spectra used by plant cell biologists are in most cases derived from the analysis of fluorescent proteins in solution or produced in animal cells, although these spectra are influenced by both the cellular environment and the components of the optical system. For instance, plant cells contain various autofluorescent compounds, such as cell wall polymers and chlorophyll, that affect the spectral detection of some fluorophores. Therefore, it is important to acquire both reference and experimental spectra under the same biological conditions and through the same imaging systems.

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X Demographics

The data shown below were collected from the profiles of 2 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Poland 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Researcher 17 18%
Student > Master 11 12%
Student > Bachelor 9 10%
Student > Doctoral Student 4 4%
Other 13 14%
Unknown 16 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 45%
Biochemistry, Genetics and Molecular Biology 24 26%
Engineering 2 2%
Materials Science 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 6 7%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 April 2013.
All research outputs
#15,267,294
of 22,703,044 outputs
Outputs from Plant Methods
#823
of 1,075 outputs
Outputs of similar age
#124,905
of 199,817 outputs
Outputs of similar age from Plant Methods
#4
of 7 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 199,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.