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Mendeley readers
Attention Score in Context
| Title |
Accurate multiple sequence-structure alignment of RNA sequences using combinatorial optimization
|
|---|---|
| Published in |
BMC Bioinformatics, July 2007
|
| DOI | 10.1186/1471-2105-8-271 |
| Pubmed ID | |
| Authors |
Markus Bauer, Gunnar W Klau, Knut Reinert |
| Abstract |
The discovery of functional non-coding RNA sequences has led to an increasing interest in algorithms related to RNA analysis. Traditional sequence alignment algorithms, however, fail at computing reliable alignments of low-homology RNA sequences. The spatial conformation of RNA sequences largely determines their function, and therefore RNA alignment algorithms have to take structural information into account. |
Mendeley readers
The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 8 | 3% |
| United States | 4 | 2% |
| Portugal | 3 | 1% |
| France | 3 | 1% |
| United Kingdom | 3 | 1% |
| Brazil | 3 | 1% |
| Canada | 2 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 221 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 35% |
| Student > Master | 46 | 18% |
| Researcher | 44 | 17% |
| Student > Doctoral Student | 13 | 5% |
| Professor | 11 | 4% |
| Other | 31 | 12% |
| Unknown | 19 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 34% |
| Computer Science | 70 | 28% |
| Biochemistry, Genetics and Molecular Biology | 34 | 13% |
| Mathematics | 8 | 3% |
| Engineering | 8 | 3% |
| Other | 23 | 9% |
| Unknown | 24 | 9% |
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 19 January 2008.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#24,363
of 67,150 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 44 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 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 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 67,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.