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Bio-degumming technology of jute bast by Pectobacterium sp. DCE-01

Overview of attention for article published in AMB Express, October 2016
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Mentioned by

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1 tweeter

Citations

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Readers on

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19 Mendeley
Title
Bio-degumming technology of jute bast by Pectobacterium sp. DCE-01
Published in
AMB Express, October 2016
DOI 10.1186/s13568-016-0255-3
Pubmed ID
Authors

Shengwen Duan, Xiangyuan Feng, Lifeng Cheng, Yuande Peng, Ke Zheng, Zhengchu Liu

Abstract

Among industrial fiber crops, jute is ranked second to cotton in terms of yield and planting area worldwide. The traditional water retting and chemical semi-degumming methods restrict the development of the jute industry. Jute fiber can be extracted from jute bast through mechanical rolling (preprocessing), culture of bacteria, soaking fermentation (liquor ratio = 10, inoculum size = 1 %, temperature = 35 °C, and time = 15 h), inactivation, washing, and drying. Pectobacterium sp. DCE-01 secretes key degumming enzymes: pectinase, mannase, and xylanase, which match well the main non-cellulosic components of jute bast. Compared with the traditional water retting degumming, the bio-degumming cycle is shortened from more than 10 days to 15 h. The proposed bio-degumming achieved higher efficiency and lower pollution than water retting and chemical semi-degumming.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Professor 1 5%
Lecturer 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 26%
Biochemistry, Genetics and Molecular Biology 2 11%
Chemical Engineering 2 11%
Materials Science 2 11%
Immunology and Microbiology 1 5%
Other 0 0%
Unknown 7 37%

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 03 October 2016.
All research outputs
#4,526,542
of 8,467,419 outputs
Outputs from AMB Express
#230
of 517 outputs
Outputs of similar age
#139,410
of 253,772 outputs
Outputs of similar age from AMB Express
#23
of 63 outputs
Altmetric has tracked 8,467,419 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 517 research outputs from this source. They receive a mean Attention Score of 2.2. 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 253,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 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.