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Cellulases: Classification, Methods of Determination and Industrial Applications

Overview of attention for article published in Applied Biochemistry and Biotechnology, April 2016
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377 Mendeley
Title
Cellulases: Classification, Methods of Determination and Industrial Applications
Published in
Applied Biochemistry and Biotechnology, April 2016
DOI 10.1007/s12010-016-2070-3
Pubmed ID
Authors

Amita Sharma, Rupinder Tewari, Susheel Singh Rana, Raman Soni, Sanjeev Kumar Soni

Abstract

Microbial cellulases have been receiving worldwide attention, as they have enormous potential to process the most abundant cellulosic biomass on this planet and transform it into sustainable biofuels and other value added products. The synergistic action of endoglucanases, exoglucanases, and β-glucosidases is required for the depolymerization of cellulose to fermentable sugars for transformation in to useful products using suitable microorganisms. The lack of a better understanding of the mechanisms of individual cellulases and their synergistic actions is the major hurdles yet to be overcome for large-scale commercial applications of cellulases. We have reviewed various microbial cellulases with a focus on their classification with mechanistic aspects of cellulase hydrolytic action, insights into novel approaches for determining cellulase activity, and potential industrial applications of cellulases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Uruguay 1 <1%
Unknown 374 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 15%
Student > Bachelor 54 14%
Student > Master 51 14%
Researcher 33 9%
Student > Doctoral Student 22 6%
Other 35 9%
Unknown 126 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 19%
Biochemistry, Genetics and Molecular Biology 69 18%
Engineering 22 6%
Chemical Engineering 18 5%
Immunology and Microbiology 18 5%
Other 41 11%
Unknown 137 36%
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 05 July 2016.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,046
of 2,519 outputs
Outputs of similar age
#255,480
of 301,314 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#29
of 35 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,519 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 301,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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.