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Electrochemiluminescent swimmers for dynamic enzymatic sensing

Overview of attention for article published in Chemical Communications, January 2014
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2 X users
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1 YouTube creator

Citations

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57 Mendeley
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Title
Electrochemiluminescent swimmers for dynamic enzymatic sensing
Published in
Chemical Communications, January 2014
DOI 10.1039/c4cc04105d
Pubmed ID
Authors

Milica Sentic, Stéphane Arbault, Bertrand Goudeau, Dragan Manojlovic, Alexander Kuhn, Laurent Bouffier, Neso Sojic

Abstract

An electrochemiluminescent (ECL) swimmer driven by bipolar electrochemistry is reported for enzymatic glucose sensing. The chemo-mechanical motion is induced by localized hydrogen bubble generation. The concomitant oxidation of the luminophore and of the enzymatically-produced NADH leads to ECL emission with a direct glucose-dependent light intensity. We demonstrate herein the local sensing and reporting of glucose in a concentration gradient explored by the ECL swimmer. Such a dynamic sensing approach combines in a synergetic way the wireless propulsion with the enzymatic selectivity using ECL as a readout method at the level of moving objects.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 9 16%
Student > Master 7 12%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 7 12%
Unknown 14 25%
Readers by discipline Count As %
Chemistry 20 35%
Materials Science 3 5%
Chemical Engineering 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 2 4%
Other 8 14%
Unknown 20 35%
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 01 September 2014.
All research outputs
#13,916,367
of 22,757,541 outputs
Outputs from Chemical Communications
#13,259
of 21,262 outputs
Outputs of similar age
#170,207
of 305,255 outputs
Outputs of similar age from Chemical Communications
#570
of 956 outputs
Altmetric has tracked 22,757,541 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 21,262 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 36th percentile – i.e., 36% 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 305,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 956 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.