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Can We Approach Theoretical Lipid Yields in Microalgae?

Overview of attention for article published in Trends in Biotechnology, January 2018
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Article details
Title
Can We Approach Theoretical Lipid Yields in Microalgae?
Published in
Trends in Biotechnology, January 2018
DOI 10.1016/j.tibtech.2017.10.020
Pubmed ID
Authors
Abstract

Can we approach theoretical lipid yields in microalgae? Yes: we can substantially reduce the gap between current and theoretical maximum yield. A realistic maximum is approximately 0.5g triacylglycerol (TAG) per mol photons, about five times higher than what is currently achieved in outdoor cultivation. Achieving this realistic maximum will require several breakthroughs. First, outdoor operation typically has low yields, mainly caused by fluctuating insolation. Future adaptive control models will help increase these yields. Additionally, the lipid production capacity of currently used strains needs to increase. Powerful strain-specific molecular toolboxes are being developed, shifting the bottleneck towards understanding metabolism and identifying target genes. Finally, strains and processes should be improved concurrently to fully exploit the potential lipid production from microalgae.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 168 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 35 21%
Student > Master 28 17%
Researcher 14 8%
Student > Bachelor 12 7%
Professor 8 5%
Other 25 15%
Unknown 46 27%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 43 26%
Biochemistry, Genetics and Molecular Biology 32 19%
Chemical Engineering 9 5%
Engineering 8 5%
Environmental Science 7 4%
Other 9 5%
Unknown 60 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2018.
All research outputs
#17,615,710
of 26,617,918 outputs
Outputs from Trends in Biotechnology
#2,639
of 2,923 outputs
Outputs of similar age
#278,807
of 455,791 outputs
Outputs of similar age from Trends in Biotechnology
#34
of 37 outputs
Altmetric has tracked 26,617,918 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 8th percentile – i.e., 8% 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 455,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.