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Using Bacillus amyloliquefaciens for remediation of aquaculture water

Overview of attention for article published in SpringerPlus, March 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
2 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
65 Mendeley
Title
Using Bacillus amyloliquefaciens for remediation of aquaculture water
Published in
SpringerPlus, March 2013
DOI 10.1186/2193-1801-2-119
Pubmed ID
Authors

Fengxing Xie, Taicheng Zhu, Fengfeng Zhang, Ke Zhou, Yujie Zhao, Zhenghua Li

Abstract

Remediation of aquaculture water using microorganisms like Bacillus species is a burgeoning trend for the sustainable development of aquaculture industries. In this work, a Bacillus amyloliquefaciens strain (namely B. amyloliquefaciens HN), isolated from activated sludge of a polluted river, was evaluated for its potential in water remediation using simulated aquaculture water. B. amyloliquefaciens HN exhibited high tolerance towards 80 mg l(-1) of nitrite-N and ammonia-N. It could effectively remove 20 mg l(-1) of nitrite-N, but was inefficient in eliminating ammonia-N when the ammonia-N concentration was below 20 mg l(-1). Further studies showed that the ammonia-N removal by B. amyloliquefaciens HN was more efficient at 30°C and 35°C than 25°C, and that maximum nitrite-N removal rate was achieved at pH 8.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 18%
Student > Master 11 17%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 6 9%
Student > Postgraduate 6 9%
Other 15 23%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 40%
Biochemistry, Genetics and Molecular Biology 10 15%
Immunology and Microbiology 6 9%
Environmental Science 3 5%
Engineering 3 5%
Other 6 9%
Unknown 11 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 May 2017.
All research outputs
#4,697,164
of 10,033,718 outputs
Outputs from SpringerPlus
#461
of 1,695 outputs
Outputs of similar age
#48,511
of 126,461 outputs
Outputs of similar age from SpringerPlus
#3
of 14 outputs
Altmetric has tracked 10,033,718 research outputs across all sources so far. This one has received more attention than most of these and is in the 52nd percentile.
So far Altmetric has tracked 1,695 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 126,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.