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Effects of agitation on particle-size distribution and enzymatic hydrolysis of pretreated spruce and giant reed

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, May 2014
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Title
Effects of agitation on particle-size distribution and enzymatic hydrolysis of pretreated spruce and giant reed
Published in
Biotechnology for Biofuels and Bioproducts, May 2014
DOI 10.1186/1754-6834-7-77
Pubmed ID
Authors

Adnan Kadić, Benny Palmqvist, Gunnar Lidén

Abstract

Mixing is an energy demanding process which has been previously shown to affect enzymatic hydrolysis. Concentrated biomass slurries are associated with high and non-Newtonian viscosities and mixing in these systems is a complex task. Poor mixing can lead to mass and/or heat transfer problems as well as inhomogeneous enzyme distribution, both of which can cause possible yield reduction. Furthermore the stirring energy dissipation may impact the particle size which in turn may affect the enzymatic hydrolysis. The objective of the current work was to specifically quantify the effects of mixing on particle-size distribution (PSD) and relate this to changes in the enzymatic hydrolysis. Two rather different materials were investigated, namely pretreated Norway spruce and giant reed.

X Demographics

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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Brazil 1 1%
Saudi Arabia 1 1%
Iran, Islamic Republic of 1 1%
Spain 1 1%
Unknown 92 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 23%
Student > Ph. D. Student 21 22%
Researcher 10 10%
Student > Bachelor 10 10%
Student > Doctoral Student 4 4%
Other 13 13%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 27%
Chemical Engineering 19 20%
Engineering 15 15%
Chemistry 7 7%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 6 6%
Unknown 20 21%
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 24 May 2014.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#997
of 1,578 outputs
Outputs of similar age
#144,334
of 239,999 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#20
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 20th percentile – i.e., 20% 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 239,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.