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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structator: fast index-based search for RNA sequence-structure patterns
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-214 |
| Pubmed ID | |
| Authors |
Fernando Meyer, Stefan Kurtz, Rolf Backofen, Sebastian Will, Michael Beckstette |
| Abstract |
The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching databases for RNAs requires to match sequence-structure patterns. Unfortunately, current tools for this task have, in the best case, a running time that is only linear in the size of sequence databases. Furthermore, established index data structures for fast sequence matching, like suffix trees or arrays, cannot benefit from the complementarity constraints introduced by the secondary structure of RNAs. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| United States | 1 | 3% |
| France | 1 | 3% |
| Unknown | 34 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Master | 4 | 11% |
| Professor | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 45% |
| Computer Science | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Medicine and Dentistry | 2 | 5% |
| Linguistics | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 5 | 13% |
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 22 June 2012.
All research outputs
#7,165,343
of 22,651,245 outputs
Outputs from BMC Bioinformatics
#2,858
of 7,236 outputs
Outputs of similar age
#39,656
of 111,991 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 94 outputs
Altmetric has tracked 22,651,245 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 7,236 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 58% 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 111,991 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 63% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.