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Combinatorial and high-throughput screening approaches for strain engineering

Overview of attention for article published in Applied Microbiology and Biotechnology, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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6 X users

Citations

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27 Dimensions

Readers on

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100 Mendeley
Title
Combinatorial and high-throughput screening approaches for strain engineering
Published in
Applied Microbiology and Biotechnology, January 2015
DOI 10.1007/s00253-015-6400-0
Pubmed ID
Authors

Wenshan Liu, Rongrong Jiang

Abstract

Microbes have long been used in the industry to produce valuable biochemicals. Combinatorial engineering approaches, new strain engineering tools derived from inverse metabolic engineering, have started to attract attention in recent years, including genome shuffling, error-prone DNA polymerase, global transcription machinery engineering (gTME), random knockout/overexpression libraries, ribosome engineering, multiplex automated genome engineering (MAGE), customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER), and library construction of "tunable intergenic regions" (TIGR). Since combinatorial approaches and high-throughput screening methods are fundamentally interconnected, color/fluorescence-based, growth-based, and biosensor-based high-throughput screening methods have been reviewed. We believe that with the help of metabolic engineering tools and new combinatorial approaches, plus effective high-throughput screening methods, researchers will be able to achieve better results on improving microorganism performance under stress or enhancing biochemical yield.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Slovenia 1 1%
Belgium 1 1%
Denmark 1 1%
China 1 1%
United States 1 1%
Unknown 95 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Student > Master 19 19%
Researcher 17 17%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 13 13%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 38%
Biochemistry, Genetics and Molecular Biology 28 28%
Engineering 9 9%
Chemistry 3 3%
Linguistics 1 1%
Other 6 6%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 February 2015.
All research outputs
#13,603,559
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,147
of 8,034 outputs
Outputs of similar age
#170,707
of 360,981 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#61
of 136 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 35th percentile – i.e., 35% 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 360,981 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 52% of its contemporaries.
We're also able to compare this research output to 136 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 55% of its contemporaries.