↓ Skip to main content

Attolitre-sized lipid bilayer chamber array for rapid detection of single transporters

Overview of attention for article published in Scientific Reports, June 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
88 Mendeley
Title
Attolitre-sized lipid bilayer chamber array for rapid detection of single transporters
Published in
Scientific Reports, June 2015
DOI 10.1038/srep11025
Pubmed ID
Authors

Naoki Soga, Rikiya Watanabe, Hiroyuki Noji

Abstract

We present an attolitre-sized arrayed lipid bilayer chamber system (aL-ALBiC) for rapid and massively parallel single-molecule assay of membrane transporter activity. Because of the small reaction volume (200 aL), the aL-ALBiC performed fast detection of single transporter activity, thereby enhancing the sensitivity, throughput, and accuracy of the analysis. Thus, aL-ALBiC broadens the opportunities for single-molecule analysis of various membrane transporters and can be used in pharmaceutical applications such as drug screening.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Germany 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 31%
Researcher 15 17%
Student > Postgraduate 7 8%
Student > Master 7 8%
Student > Bachelor 6 7%
Other 13 15%
Unknown 13 15%
Readers by discipline Count As %
Engineering 17 19%
Biochemistry, Genetics and Molecular Biology 13 15%
Agricultural and Biological Sciences 11 13%
Physics and Astronomy 11 13%
Chemistry 9 10%
Other 8 9%
Unknown 19 22%
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 08 June 2015.
All research outputs
#20,278,422
of 22,811,321 outputs
Outputs from Scientific Reports
#105,188
of 123,118 outputs
Outputs of similar age
#222,202
of 266,120 outputs
Outputs of similar age from Scientific Reports
#1,537
of 1,841 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% 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 266,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,841 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.