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Flow-dependent fluorescence of CCVJ

Overview of attention for article published in Journal of Biological Engineering, August 2017
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Title
Flow-dependent fluorescence of CCVJ
Published in
Journal of Biological Engineering, August 2017
DOI 10.1186/s13036-017-0067-2
Pubmed ID
Authors

Markus J. Schmidt, David Sauter, Thomas Rösgen

Abstract

The molecular rotor 9-(2-Carboxy-2-cyanovinyl)julolidine (CCVJ) is presumed to have a sensitivity towards velocity or shear which is supposed to result in a change in fluorescence quantum yield. Furthermore, a previously reported photoisomeric behavior may contribute to the measured fluorescence intensity changes. The goal of this research was to examine the hypothesized behavior theoretically and experimentally from the perspective of fluid dynamics. A correlation between stirring rate and intensity could not be established in the present experiments with a completely illuminated sample in contrast to previously reported experiments in spectrofluorometers. Experiments and theoretical models of a Poiseuille flow were in good agreement with the photoisomeric behavior but excluded the influence of shear. Further experiments in a flow chamber supported the photoisomery hypothesis as well. No experimental evidence for the influence of velocity on the fluorescence intensity of CCVJ was found. The hypothesis of shear sensitivity was excluded as well. The results are consistent with the photoisomeric behavior of CCVJ.

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Unknown 4 33%
Readers by discipline Count As %
Engineering 3 25%
Chemistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Materials Science 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 0 0%
Unknown 4 33%
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 12 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Journal of Biological Engineering
#187
of 265 outputs
Outputs of similar age
#199,423
of 317,579 outputs
Outputs of similar age from Journal of Biological Engineering
#5
of 8 outputs
Altmetric has tracked 23,005,189 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 265 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 22nd percentile – i.e., 22% 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 317,579 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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.