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A high-throughput cellulase screening system based on droplet microfluidics

Overview of attention for article published in Biomicrofluidics, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents
facebook
1 Facebook page

Citations

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44 Dimensions

Readers on

mendeley
173 Mendeley
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Title
A high-throughput cellulase screening system based on droplet microfluidics
Published in
Biomicrofluidics, July 2014
DOI 10.1063/1.4886771
Pubmed ID
Authors

Raluca Ostafe, Radivoje Prodanovic, W. Lloyd Ung, David A. Weitz, Rainer Fischer

Abstract

A new ultra-high-throughput screening assay for the detection of cellulase activity was developed based on microfluidic sorting. Cellulase activity is detected using a series of coupled enzymes leading to the formation of a fluorescent product that can be detected on a chip. Using this method, we have achieved up to 300-fold enrichments of the active population of cells and greater than 90% purity after just one sorting round. In addition, we proved that we can sort the cellulase-expressing cells from mixtures containing less than 1% active cells.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Korea, Republic of 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Denmark 1 <1%
China 1 <1%
United States 1 <1%
Other 0 0%
Unknown 164 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 32%
Researcher 30 17%
Student > Master 20 12%
Student > Bachelor 13 8%
Student > Doctoral Student 12 7%
Other 23 13%
Unknown 20 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 24%
Agricultural and Biological Sciences 33 19%
Engineering 31 18%
Chemistry 15 9%
Physics and Astronomy 8 5%
Other 17 10%
Unknown 27 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 February 2021.
All research outputs
#5,327,821
of 17,606,952 outputs
Outputs from Biomicrofluidics
#145
of 742 outputs
Outputs of similar age
#56,492
of 200,992 outputs
Outputs of similar age from Biomicrofluidics
#6
of 39 outputs
Altmetric has tracked 17,606,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 742 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 79% 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 200,992 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 70% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.