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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 (69th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 tweeter
patent
6 patents
facebook
1 Facebook page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
190 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 190 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 181 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 28%
Researcher 31 16%
Student > Master 20 11%
Student > Bachelor 14 7%
Student > Doctoral Student 12 6%
Other 24 13%
Unknown 35 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 23%
Agricultural and Biological Sciences 32 17%
Engineering 31 16%
Chemistry 15 8%
Physics and Astronomy 8 4%
Other 19 10%
Unknown 41 22%

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 22 November 2022.
All research outputs
#6,892,264
of 22,613,145 outputs
Outputs from Biomicrofluidics
#185
of 801 outputs
Outputs of similar age
#59,853
of 203,912 outputs
Outputs of similar age from Biomicrofluidics
#1
of 11 outputs
Altmetric has tracked 22,613,145 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 801 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 76% 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 203,912 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 69% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.