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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, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 226)
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
66 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, January 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

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
China 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Student > Master 11 17%
Student > Bachelor 8 12%
Researcher 8 12%
Unspecified 8 12%
Other 14 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 36%
Engineering 10 15%
Unspecified 10 15%
Biochemistry, Genetics and Molecular Biology 7 11%
Chemical Engineering 6 9%
Other 9 14%

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
#604,635
of 3,684,317 outputs
Outputs from Microbial Cell Factories
#36
of 226 outputs
Outputs of similar age
#19,066
of 96,940 outputs
Outputs of similar age from Microbial Cell Factories
#2
of 15 outputs
Altmetric has tracked 3,684,317 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 226 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 81% 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 96,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.