| Title |
Identification of bacterial communities in sediments of Poyang Lake, the largest freshwater lake in China
|
|---|---|
| Published in |
SpringerPlus, April 2016
|
| DOI | 10.1186/s40064-016-2026-7 |
| Pubmed ID | |
| Authors |
Wenbo Kou, Jie Zhang, Xinxin Lu, Yantian Ma, Xiaozhen Mou, Lan Wu |
| Abstract |
Bacteria play a vital role in various biogeochemical processes in lacustrine sediment ecosystems. This study is among the first to investigate the spatial distribution patterns of bacterial community composition in the sediments of Poyang Lake, the largest freshwater lake of China. Sediment samples were collected from the main basins and mouths of major rivers that discharge into the Poyang Lake in May 2011. Quantitative PCR assay and pyrosequencing analysis of 16S rRNA genes showed that the bacteria community abundance and compositions of Poyang Lake sediment varied largely among sampling sites. A total of 25 phyla and 68 bacterial orders were distinguished. Burkholderiales, Gallionellales (Beta-proteobacteria), Myxococcales, Desulfuromonadales (Delta-proteobacteria), Sphingobacteriales (Bacteroidetes), Nitrospirales (Nitrospirae), Xanthomonadales (Gamma-proteobacteria) were identified as the major taxa and collectively accounted for over half of annotated sequences. Moreover, correlation analyses suggested that higher loads of total phosphorus and heavy metals (copper, zinc and cadmium) could enhance bacterial abundance in the sediment. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 4 | 11% |
| Other | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 21% |
| Agricultural and Biological Sciences | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Engineering | 2 | 5% |
| Social Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 37% |
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 07 April 2016.
All research outputs
#5,756,433
of 22,860,626 outputs
Outputs from SpringerPlus
#333
of 1,849 outputs
Outputs of similar age
#81,811
of 300,229 outputs
Outputs of similar age from SpringerPlus
#33
of 182 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 81% 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 300,229 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 72% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.