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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
|
|---|---|
| Published in |
BMC Bioinformatics, March 2008
|
| DOI | 10.1186/1471-2105-9-s2-s10 |
| Pubmed ID | |
| Authors |
Svetlin A Manavski, Giorgio Valle |
| Abstract |
Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more than 25 years. It is based on a dynamic programming approach that explores all the possible alignments between two sequences; as a result it returns the optimal local alignment. Unfortunately, the computational cost is very high, requiring a number of operations proportional to the product of the length of two sequences. Furthermore, the exponential growth of protein and DNA databases makes the Smith-Waterman algorithm unrealistic for searching similarities in large sets of sequences. For these reasons heuristic approaches such as those implemented in FASTA and BLAST tend to be preferred, allowing faster execution times at the cost of reduced sensitivity. The main motivation of our work is to exploit the huge computational power of commonly available graphic cards, to develop high performance solutions for sequence alignment. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 5% |
| Brazil | 5 | 2% |
| United Kingdom | 5 | 2% |
| Germany | 4 | 1% |
| Canada | 3 | 1% |
| France | 2 | <1% |
| Pakistan | 1 | <1% |
| Hong Kong | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 13 | 4% |
| Unknown | 249 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 27% |
| Researcher | 61 | 20% |
| Student > Master | 40 | 13% |
| Student > Bachelor | 23 | 8% |
| Professor > Associate Professor | 19 | 6% |
| Other | 54 | 18% |
| Unknown | 22 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 124 | 41% |
| Agricultural and Biological Sciences | 75 | 25% |
| Engineering | 30 | 10% |
| Biochemistry, Genetics and Molecular Biology | 16 | 5% |
| Physics and Astronomy | 6 | 2% |
| Other | 24 | 8% |
| Unknown | 25 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 28 May 2015.
All research outputs
#1,458,634
of 23,006,268 outputs
Outputs from BMC Bioinformatics
#266
of 7,312 outputs
Outputs of similar age
#3,521
of 81,756 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 48 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,312 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 done particularly well, scoring higher than 96% 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 81,756 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.