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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient error correction for next-generation sequencing of viral amplicons
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-s10-s6 |
| Pubmed ID | |
| Authors |
Pavel Skums, Zoya Dimitrova, David S Campo, Gilberto Vaughan, Livia Rossi, Joseph C Forbi, Jonny Yokosawa, Alex Zelikovsky, Yury Khudyakov |
| Abstract |
Next-generation sequencing allows the analysis of an unprecedented number of viral sequence variants from infected patients, presenting a novel opportunity for understanding virus evolution, drug resistance and immune escape. However, sequencing in bulk is error prone. Thus, the generated data require error identification and correction. Most error-correction methods to date are not optimized for amplicon analysis and assume that the error rate is randomly distributed. Recent quality assessment of amplicon sequences obtained using 454-sequencing showed that the error rate is strongly linked to the presence and size of homopolymers, position in the sequence and length of the amplicon. All these parameters are strongly sequence specific and should be incorporated into the calibration of error-correction algorithms designed for amplicon sequencing. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| United States | 2 | 2% |
| Brazil | 2 | 2% |
| Switzerland | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 75 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 31% |
| Student > Ph. D. Student | 18 | 21% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 7 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 52% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Computer Science | 9 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Environmental Science | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 7 | 8% |
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 18 July 2018.
All research outputs
#6,912,518
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,247 outputs
Outputs of similar age
#49,373
of 164,520 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 98 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 164,520 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 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.