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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BLESS 2: accurate, memory-efficient and fast error correction method
|
|---|---|
| Published in |
Bioinformatics, March 2016
|
| DOI | 10.1093/bioinformatics/btw146 |
| Pubmed ID | |
| Authors |
Yun Heo, Anand Ramachandran, Wen-Mei Hwu, Jian Ma, Deming Chen |
| Abstract |
The most important features of error correction tools for sequencing data are accuracy, memory efficiency, and fast runtime. The previous version of BLESS was highly memory-efficient and accurate, but it was too slow to handle reads from large genomes. We have developed a new version of BLESS to improve runtime and accuracy while maintaining a small memory usage. The new version, called BLESS 2, has an error correction algorithm that is more accurate than BLESS, and the algorithm has been parallelized using hybrid MPI and OpenMP programming. BLESS 2 was compared with five top-performing tools, and it was found to be the fastest when it was executed on two computing nodes using MPI, with each node containing twelve cores. Also, BLESS 2 showed at least 11 percent higher gain while retaining the memory efficiency of the previous version for large genomes. Freely available at https://sourceforge.net/projects/bless-ec CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| Denmark | 1 | 13% |
| Norway | 1 | 13% |
| Italy | 1 | 13% |
| Germany | 1 | 13% |
| Tunisia | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 32 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Researcher | 10 | 29% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 3 | 9% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 31% |
| Agricultural and Biological Sciences | 10 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 26% |
| Physics and Astronomy | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 2 | 6% |
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 15 May 2017.
All research outputs
#7,960,693
of 25,377,790 outputs
Outputs from Bioinformatics
#6,526
of 12,809 outputs
Outputs of similar age
#105,715
of 314,824 outputs
Outputs of similar age from Bioinformatics
#118
of 183 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 314,824 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 65% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.