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Attention Score in Context
| Title |
Assessing the genetic diversity of Cu resistance in mine tailings through high-throughput recovery of full-length copA genes
|
|---|---|
| Published in |
Scientific Reports, August 2015
|
| DOI | 10.1038/srep13258 |
| Pubmed ID | |
| Authors |
Xiaofang Li, Yong-Guan Zhu, Babak Shaban, Timothy J. C. Bruxner, Philip L. Bond, Longbin Huang |
| Abstract |
Characterizing the genetic diversity of microbial copper (Cu) resistance at the community level remains challenging, mainly due to the polymorphism of the core functional gene copA. In this study, a local BLASTN method using a copA database built in this study was developed to recover full-length putative copA sequences from an assembled tailings metagenome; these sequences were then screened for potentially functioning CopA using conserved metal-binding motifs, inferred by evolutionary trace analysis of CopA sequences from known Cu resistant microorganisms. In total, 99 putative copA sequences were recovered from the tailings metagenome, out of which 70 were found with high potential to be functioning in Cu resistance. Phylogenetic analysis of selected copA sequences detected in the tailings metagenome showed that topology of the copA phylogeny is largely congruent with that of the 16S-based phylogeny of the tailings microbial community obtained in our previous study, indicating that the development of copA diversity in the tailings might be mainly through vertical descent with few lateral gene transfer events. The method established here can be used to explore copA (and potentially other metal resistance genes) diversity in any metagenome and has the potential to exhaust the full-length gene sequences for downstream analyses. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 28% |
| Researcher | 14 | 19% |
| Student > Doctoral Student | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 36% |
| Environmental Science | 16 | 21% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 14 | 19% |
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 04 September 2015.
All research outputs
#14,184,376
of 23,498,099 outputs
Outputs from Scientific Reports
#65,947
of 127,016 outputs
Outputs of similar age
#132,310
of 267,552 outputs
Outputs of similar age from Scientific Reports
#976
of 1,953 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 47th percentile – i.e., 47% 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 267,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,953 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.