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Filaments in Bioprocesses

Overview of attention for book
Attention for Chapter 297: The Cell Factory Aspergillus Enters the Big Data Era: Opportunities and Challenges for Optimising Product Formation.
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Chapter title
The Cell Factory Aspergillus Enters the Big Data Era: Opportunities and Challenges for Optimising Product Formation.
Chapter number 297
Book title
Filaments in Bioprocesses
Published in
Advances in biochemical engineering biotechnology, January 2015
DOI 10.1007/10_2014_297
Pubmed ID
Book ISBNs
978-3-31-920510-6, 978-3-31-920511-3
Authors

Vera Meyer, Markus Fiedler, Benjamin Nitsche, Rudibert King, Meyer V, Fiedler M, Nitsche B, King R, Meyer, Vera, Fiedler, Markus, Nitsche, Benjamin, King, Rudibert

Abstract

: Living with limits. Getting more from less. Producing commodities and high-value products from renewable resources including waste. What is the driving force and quintessence of bioeconomy outlines the lifestyle and product portfolio of Aspergillus, a saprophytic genus, to which some of the top-performing microbial cell factories belong: Aspergillus niger, Aspergillus oryzae and Aspergillus terreus. What makes them so interesting for exploitation in biotechnology and how can they help us to address key challenges of the twenty-first century? How can these strains become trimmed for better growth on second-generation feedstocks and how can we enlarge their product portfolio by genetic and metabolic engineering to get more from less? On the other hand, what makes it so challenging to deduce biological meaning from the wealth of Aspergillus -omics data? And which hurdles hinder us to model and engineer industrial strains for higher productivity and better rheological performance under industrial cultivation conditions? In this review, we will address these issues by highlighting most recent findings from the Aspergillus research with a focus on fungal growth, physiology, morphology and product formation. Indeed, the last years brought us many surprising insights into model and industrial strains. They clearly told us that similar is not the same: there are different ways to make a hypha, there are more protein secretion routes than anticipated and there are different molecular and physical mechanisms which control polar growth and the development of hyphal networks. We will discuss new conceptual frameworks derived from these insights and the future scientific advances necessary to create value from Aspergillus Big Data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Denmark 1 1%
Germany 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Researcher 13 14%
Student > Master 13 14%
Student > Bachelor 12 13%
Professor 5 5%
Other 13 14%
Unknown 20 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 25%
Biochemistry, Genetics and Molecular Biology 16 17%
Engineering 11 12%
Medicine and Dentistry 5 5%
Chemical Engineering 3 3%
Other 10 11%
Unknown 24 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 April 2016.
All research outputs
#18,294,766
of 23,498,099 outputs
Outputs from Advances in biochemical engineering biotechnology
#141
of 222 outputs
Outputs of similar age
#245,774
of 355,494 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#13
of 22 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 222 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 34th percentile – i.e., 34% 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 355,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.