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Modifying Yeast Tolerance to Inhibitory Conditions of Ethanol Production Processes

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, November 2015
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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3 X users

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232 Mendeley
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Title
Modifying Yeast Tolerance to Inhibitory Conditions of Ethanol Production Processes
Published in
Frontiers in Bioengineering and Biotechnology, November 2015
DOI 10.3389/fbioe.2015.00184
Pubmed ID
Authors

Luis Caspeta, Tania Castillo, Jens Nielsen

Abstract

Saccharomyces cerevisiae strains having a broad range of substrate utilization, rapid substrate consumption, and conversion to ethanol, as well as good tolerance to inhibitory conditions are ideal for cost-competitive ethanol production from lignocellulose. A major drawback to directly design S. cerevisiae tolerance to inhibitory conditions of lignocellulosic ethanol production processes is the lack of knowledge about basic aspects of its cellular signaling network in response to stress. Here, we highlight the inhibitory conditions found in ethanol production processes, the targeted cellular functions, the key contributions of integrated -omics analysis to reveal cellular stress responses according to these inhibitors, and current status on design-based engineering of tolerant and efficient S. cerevisiae strains for ethanol production from lignocellulose.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 20%
Researcher 33 14%
Student > Master 30 13%
Student > Bachelor 25 11%
Student > Doctoral Student 15 6%
Other 32 14%
Unknown 51 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 26%
Biochemistry, Genetics and Molecular Biology 51 22%
Engineering 24 10%
Chemical Engineering 13 6%
Immunology and Microbiology 6 3%
Other 15 6%
Unknown 62 27%
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 October 2022.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,327
of 7,169 outputs
Outputs of similar age
#158,132
of 284,279 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#21
of 56 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,169 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 62% 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 284,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 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 58% of its contemporaries.