| Title |
Fast index based algorithms and software for matching position specific scoring matrices
|
|---|---|
| Published in |
BMC Bioinformatics, August 2006
|
| DOI | 10.1186/1471-2105-7-389 |
| Pubmed ID | |
| Authors |
Michael Beckstette, Robert Homann, Robert Giegerich, Stefan Kurtz |
| Abstract |
In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs in nucleotide as well as amino acid sequences. Searching with PSSMs in complete genomes or large sequence databases is a common, but computationally expensive task. |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Austria | 1 | <1% |
| China | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 102 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 24% |
| Student > Ph. D. Student | 23 | 20% |
| Student > Master | 15 | 13% |
| Student > Doctoral Student | 9 | 8% |
| Other | 8 | 7% |
| Other | 22 | 19% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 49% |
| Computer Science | 19 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Medicine and Dentistry | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 15 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 April 2015.
All research outputs
#8,724,841
of 25,836,587 outputs
Outputs from BMC Bioinformatics
#3,257
of 7,755 outputs
Outputs of similar age
#31,776
of 92,650 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 37 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,755 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 50% 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 92,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.