| Title |
Improved base calling for the Illumina Genome Analyzer using machine learning strategies
|
|---|---|
| Published in |
Genome Biology, August 2009
|
| DOI | 10.1186/gb-2009-10-8-r83 |
| Pubmed ID | |
| Authors |
Martin Kircher, Udo Stenzel, Janet Kelso |
| Abstract |
The Illumina Genome Analyzer generates millions of short sequencing reads. We present Ibis (Improved base identification system), an accurate, fast and easy-to-use base caller that significantly reduces the error rate and increases the output of usable reads. Ibis is faster and more robust with respect to chemistry and technology than other publicly available packages. Ibis is freely available under the GPL from http://bioinf.eva.mpg.de/Ibis/. |
Mendeley readers
The data shown below were compiled from readership statistics for 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 4% |
| Germany | 9 | 2% |
| United Kingdom | 5 | 1% |
| Spain | 4 | 1% |
| Sweden | 3 | <1% |
| Italy | 2 | <1% |
| Belgium | 2 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 338 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 108 | 28% |
| Student > Ph. D. Student | 95 | 25% |
| Student > Master | 41 | 11% |
| Student > Doctoral Student | 20 | 5% |
| Professor | 18 | 5% |
| Other | 75 | 19% |
| Unknown | 30 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 182 | 47% |
| Biochemistry, Genetics and Molecular Biology | 63 | 16% |
| Computer Science | 38 | 10% |
| Medicine and Dentistry | 13 | 3% |
| Engineering | 13 | 3% |
| Other | 41 | 11% |
| Unknown | 37 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 16 April 2024.
All research outputs
#3,798,945
of 25,374,917 outputs
Outputs from Genome Biology
#2,558
of 4,467 outputs
Outputs of similar age
#14,570
of 123,907 outputs
Outputs of similar age from Genome Biology
#5
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 42nd percentile – i.e., 42% 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 123,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.