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Whole-genome sequencing reveals novel insights into sulfur oxidation in the extremophile Acidithiobacillus thiooxidans

Overview of attention for article published in BMC Microbiology, July 2014
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3 X users

Citations

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92 Dimensions

Readers on

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133 Mendeley
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Title
Whole-genome sequencing reveals novel insights into sulfur oxidation in the extremophile Acidithiobacillus thiooxidans
Published in
BMC Microbiology, July 2014
DOI 10.1186/1471-2180-14-179
Pubmed ID
Authors

Huaqun Yin, Xian Zhang, Xiaoqi Li, Zhili He, Yili Liang, Xue Guo, Qi Hu, Yunhua Xiao, Jing Cong, Liyuan Ma, Jiaojiao Niu, Xueduan Liu

Abstract

Acidithiobacillus thiooxidans (A. thiooxidans), a chemolithoautotrophic extremophile, is widely used in the industrial recovery of copper (bioleaching or biomining). The organism grows and survives by autotrophically utilizing energy derived from the oxidation of elemental sulfur and reduced inorganic sulfur compounds (RISCs). However, the lack of genetic manipulation systems has restricted our exploration of its physiology. With the development of high-throughput sequencing technology, the whole genome sequence analysis of A. thiooxidans has allowed preliminary models to be built for genes/enzymes involved in key energy pathways like sulfur oxidation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Portugal 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 26%
Researcher 23 17%
Student > Master 17 13%
Student > Bachelor 13 10%
Student > Doctoral Student 9 7%
Other 14 11%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 22%
Biochemistry, Genetics and Molecular Biology 23 17%
Environmental Science 15 11%
Engineering 8 6%
Chemical Engineering 5 4%
Other 17 13%
Unknown 36 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2014.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from BMC Microbiology
#1,745
of 3,489 outputs
Outputs of similar age
#139,342
of 242,216 outputs
Outputs of similar age from BMC Microbiology
#29
of 62 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 44th percentile – i.e., 44% 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 242,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.