| Title |
Temporal dynamics of activated sludge bacterial communities in two diversity variant full-scale sewage treatment plants
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, August 2018
|
| DOI | 10.1007/s00253-018-9287-8 |
| Pubmed ID | |
| Authors |
Xiao-Tao Jiang, Lin Ye, Feng Ju, Bing Li, Li-Ping Ma, Tong Zhang |
| Abstract |
Bacterial community in activated sludge (AS) is diverse and highly dynamic. Little is known about the mechanism shaping bacterial community composition and dynamics of AS and no study had quantitatively compared the contribution of abiotic environmental factors and biotic associations to the temporal dynamics of AS microbial communities with significantly different diversity. In this study, two full-scale sewage treatment plants (STPs) with distinct operational parameters and influent composition were sampled biweekly over 1 year to reveal the correlating factors to whole and sub-groups of AS bacterial community diversity and dynamics. The results show that the bacterial communities of the two STPs were entirely different and correlated with the influent composition and operating configurations. Bacterial associations represented by cohesion metrics and the environmental factor temperature were the primary correlated factors to the temporal bacterial community dynamics within each STP. The STP with high diversity and evenness could treat influent with higher suspended solid and a shorter sludge retention time, and was less correlated with environmental factors, implying the importance of diversity for AS system. |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Professor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Immunology and Microbiology | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
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 15 August 2018.
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
#102,238
of 335,138 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#27
of 133 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 335,138 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 68% of its contemporaries.
We're also able to compare this research output to 133 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.