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A metallo-keratinase from a newly isolated Acinetobacter sp. R-1 with low collagenase activity and its biotechnological application potential in leather industry

Overview of attention for article published in Bioprocess and Biosystems Engineering, November 2015
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Title
A metallo-keratinase from a newly isolated Acinetobacter sp. R-1 with low collagenase activity and its biotechnological application potential in leather industry
Published in
Bioprocess and Biosystems Engineering, November 2015
DOI 10.1007/s00449-015-1503-7
Pubmed ID
Authors

Rong-Xian Zhang, Jin-Song Gong, Dan-Dan Zhang, Chang Su, Ying-Shuo Hou, Heng Li, Jin-Song Shi, Zheng-Hong Xu

Abstract

Microbial keratinase is a well-recognized enzyme that can specifically degrade insoluble keratins. A keratinase-producing bacterium was isolated from a duck ranch soil and identified as Acinetobacter sp. R-1 based on the biochemical characteristics and 16S rDNA gene sequencing. It showed high keratinase activity and low collagenase activity. The keratinase was purified to electrophoretic homogeneity with 6.69 % recovery, 2.68-fold purification and an estimated molecular weight of 25 kDa. Additionally, the keratinase showed optimal activity at 50 °C and pH11. Keratinase activity of Acinetobacter sp. significantly increased in the presence of Li(+), Na(+), and Ca(2+), while it was completely inhibited by EDTA, indicating it was a metallo-keratinase. Moreover, the crude keratinase from Acinetobacter sp. R-1 could thoroughly depilate goat skin and simultaneously modify the wool surface, which indicated its applicable potential in leather and textile industries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Doctoral Student 3 13%
Student > Bachelor 2 8%
Lecturer 2 8%
Professor 1 4%
Other 1 4%
Unknown 8 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 29%
Immunology and Microbiology 3 13%
Agricultural and Biological Sciences 3 13%
Environmental Science 2 8%
Unknown 9 38%
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 22 November 2015.
All research outputs
#22,830,981
of 25,457,297 outputs
Outputs from Bioprocess and Biosystems Engineering
#8
of 8 outputs
Outputs of similar age
#335,495
of 393,265 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#4
of 7 outputs
Altmetric has tracked 25,457,297 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 8 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 0 of them.
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 393,265 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.