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Mendeley readers
Attention Score in Context
| Title |
160-fold acceleration of the Smith-Waterman algorithm using a field programmable gate array (FPGA)
|
|---|---|
| Published in |
BMC Bioinformatics, June 2007
|
| DOI | 10.1186/1471-2105-8-185 |
| Pubmed ID | |
| Authors |
Isaac TS Li, Warren Shum, Kevin Truong |
| Abstract |
To infer homology and subsequently gene function, the Smith-Waterman (SW) algorithm is used to find the optimal local alignment between two sequences. When searching sequence databases that may contain hundreds of millions of sequences, this algorithm becomes computationally expensive. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United Kingdom | 2 | 3% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 62 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Researcher | 12 | 17% |
| Student > Master | 12 | 17% |
| Student > Bachelor | 5 | 7% |
| Professor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 30% |
| Engineering | 20 | 29% |
| Agricultural and Biological Sciences | 14 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Chemistry | 2 | 3% |
| Other | 1 | 1% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2010.
All research outputs
#20,143,522
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#6,808
of 7,234 outputs
Outputs of similar age
#67,919
of 70,347 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 46 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 70,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.