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A low-cost, multiplexable, automated flow cytometry procedure for the characterization of microbial stress dynamics in bioreactors

Overview of attention for article published in Microbial Cell Factories, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog

Citations

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54 Dimensions

Readers on

mendeley
91 Mendeley
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Title
A low-cost, multiplexable, automated flow cytometry procedure for the characterization of microbial stress dynamics in bioreactors
Published in
Microbial Cell Factories, October 2013
DOI 10.1186/1475-2859-12-100
Pubmed ID
Authors

Alison Brognaux, Shanshan Han, Søren J Sørensen, Frédéric Lebeau, Philippe Thonart, Frank Delvigne

Abstract

Microbial cell population heterogeneity is now recognized as a major source of issues in the development and optimization of bioprocesses. Even if single cell technologies are available for the study of microbial population heterogeneity, only a few of these methods are available in order to study the dynamics of segregation directly in bioreactors. In this context, specific interfaces have been developed in order to connect a flow cytometer directly to a bioreactor for automated analyses. In this work, we propose a simplified version of such an interface and demonstrate its usefulness for multiplexed experiments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
China 1 1%
Unknown 89 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 30%
Student > Master 16 18%
Researcher 10 11%
Student > Bachelor 8 9%
Student > Doctoral Student 5 5%
Other 12 13%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 31%
Engineering 13 14%
Biochemistry, Genetics and Molecular Biology 12 13%
Chemical Engineering 6 7%
Immunology and Microbiology 3 3%
Other 13 14%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 November 2013.
All research outputs
#5,852,394
of 22,729,647 outputs
Outputs from Microbial Cell Factories
#380
of 1,588 outputs
Outputs of similar age
#52,508
of 213,077 outputs
Outputs of similar age from Microbial Cell Factories
#4
of 14 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,588 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 75% of its peers.
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 213,077 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.