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Optimizing plant transporter expression in Xenopus oocytes

Overview of attention for article published in Plant Methods, December 2013
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Title
Optimizing plant transporter expression in Xenopus oocytes
Published in
Plant Methods, December 2013
DOI 10.1186/1746-4811-9-48
Pubmed ID
Authors

Huimin Feng, Xiudong Xia, Xiaorong Fan, Guohua Xu, Anthony J Miller

Abstract

Rapid improvements in DNA synthesis technology are revolutionizing gene cloning and the characterization of their encoded proteins. Xenopus laevis oocytes are a commonly used heterologous system for the expression and functional characterization of membrane proteins. For many plant proteins, particularly transporters, low levels of expression can limit functional activity in these cells making it difficult to characterize the protein. Improvements in synthetic DNA technology now make it quick, easy and relatively cheap to optimize the codon usage of plant cDNAs for Xenopus. We have tested if this optimization process can improve the functional activity of a two-component plant nitrate transporter assayed in oocytes.

X Demographics

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

Geographical breakdown

Country Count As %
United States 1 2%
Argentina 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 26%
Researcher 9 18%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 50%
Biochemistry, Genetics and Molecular Biology 9 18%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Physics and Astronomy 1 2%
Other 2 4%
Unknown 11 22%
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 31 March 2014.
All research outputs
#15,239,586
of 22,738,543 outputs
Outputs from Plant Methods
#824
of 1,077 outputs
Outputs of similar age
#190,713
of 306,076 outputs
Outputs of similar age from Plant Methods
#13
of 13 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,077 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 23rd percentile – i.e., 23% 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 306,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.