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Using a model filamentous fungus to unravel mechanisms of lignocellulose deconstruction

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, January 2013
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Title
Using a model filamentous fungus to unravel mechanisms of lignocellulose deconstruction
Published in
Biotechnology for Biofuels and Bioproducts, January 2013
DOI 10.1186/1754-6834-6-6
Pubmed ID
Authors

Elizabeth A Znameroski, N Louise Glass

Abstract

Filamentous fungi are the main source of enzymes used to degrade lignocellulose to fermentable sugars for the production of biofuels. While the most commonly used organism for the production of cellulases in an industrial setting is Trichoderma reesei (Hypocrea jecorina), recent work in the model filamentous fungus Neurospora crassa has shown that the variety of molecular, genetic and biochemical techniques developed for this organism can expedite analyses of the complexities involved in the utilization of lignocellulose as a source of carbon. These include elucidating regulatory networks associated with plant cell wall deconstruction, the identification of signaling molecules necessary for induction of the expression of genes encoding lignocellulolytic enzymes and the characterization of new cellulolytic enzymatic activities. In particular, the availability of a full genome deletion strain set for N. crassa has expedited high throughput screening for mutants that display a cellulolytic phenotype. This review summarizes the key findings of several recent studies using N. crassa to further understanding the mechanisms of plant cell wall deconstruction by filamentous fungi.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 1%
France 2 1%
Germany 1 <1%
Indonesia 1 <1%
Chile 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 138 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 22%
Researcher 29 20%
Student > Bachelor 15 10%
Student > Master 13 9%
Student > Postgraduate 12 8%
Other 25 17%
Unknown 21 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 46%
Biochemistry, Genetics and Molecular Biology 37 25%
Chemistry 5 3%
Chemical Engineering 3 2%
Engineering 3 2%
Other 8 5%
Unknown 23 16%
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 23 January 2013.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,285
of 1,578 outputs
Outputs of similar age
#226,082
of 286,804 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#17
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 10th percentile – i.e., 10% 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 286,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.