| Title |
Effects of PCR cycle number and DNA polymerase type on the 16S rRNA gene pyrosequencing analysis of bacterial communities
|
|---|---|
| Published in |
Journal of Microbiology, December 2012
|
| DOI | 10.1007/s12275-012-2642-z |
| Pubmed ID | |
| Authors |
Jae-Hyung Ahn, Byung-Yong Kim, Jaekyeong Song, Hang-Yeon Weon |
| Abstract |
The effects of PCR cycle number and DNA polymerase type on 16S rRNA gene pyrosequencing analysis were investigated using an artificially prepared bacterial community (mock community). The bacterial richness was overestimated at increased PCR cycle number mostly due to the occurence of chimeric sequences, and this was more serious with a DNA polymerase having proofreading activity than with Taq DNA polymerase. These results suggest that PCR cycle number must be kept as low as possible for accurate estimation of bacterial richness and that particular care must be taken when a DNA polymerase having proofreading activity is used. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Thailand | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 141 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 31% |
| Researcher | 30 | 20% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Postgraduate | 9 | 6% |
| Other | 22 | 15% |
| Unknown | 17 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 51% |
| Biochemistry, Genetics and Molecular Biology | 19 | 13% |
| Immunology and Microbiology | 12 | 8% |
| Environmental Science | 6 | 4% |
| Arts and Humanities | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 24 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 March 2022.
All research outputs
#6,860,107
of 23,975,976 outputs
Outputs from Journal of Microbiology
#135
of 842 outputs
Outputs of similar age
#71,115
of 287,567 outputs
Outputs of similar age from Journal of Microbiology
#1
of 4 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 842 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 82% 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 287,567 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 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them