| Title |
Microbial diversity and community structure in an antimony-rich tailings dump
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, May 2016
|
| DOI | 10.1007/s00253-016-7598-1 |
| Pubmed ID | |
| Authors |
Enzong Xiao, Valdis Krumins, Yiran Dong, Tangfu Xiao, Zengping Ning, Qingxiang Xiao, Weimin Sun |
| Abstract |
To assess the impact of antimony (Sb) on microbial community structure, 12 samples were taken from an Sb tailings pile in Guizhou Province, Southwest China. All 12 samples exhibited elevated Sb concentrations, but the mobile and bioaccessible fractions were small in comparison to total Sb concentrations. Besides the geochemical analyses, microbial communities inhabiting the tailing samples were characterized to investigate the interplay between the microorganisms and environmental factors in mine tailings. In all samples, Proteobacteria and Actinobacteria were the most dominant phyla. At the genus level, Thiobacillus, Limnobacter, Nocardioides, Lysobacter, Phormidium, and Kaistobacter demonstrated relatively high abundances. The two most abundant genera, Thiobacillus and Limnobacter, are characterized as sulfur-oxidizing bacteria and thiosulfate-oxidizing bacteria, respectively, while the genus Lysobacter contains arsenic (As)-resistant bacteria. Canonical correspondence analysis (CCA) indicates that TOC and the sulfate to sulfide ratio strongly shaped the microbial communities, suggesting the influence of the environmental factors in the indigenous microbial communities. |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 11 | 30% |
| Agricultural and Biological Sciences | 11 | 30% |
| Chemical Engineering | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 10 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 May 2016.
All research outputs
#6,192,096
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,239
of 8,034 outputs
Outputs of similar age
#92,237
of 332,103 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#24
of 134 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. 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 332,103 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 71% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.