You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
4SALE – A tool for synchronous RNA sequence and secondary structure alignment and editing
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-498 |
| Pubmed ID | |
| Authors |
Philipp N Seibel, Tobias Müller, Thomas Dandekar, Jörg Schultz, Matthias Wolf |
| Abstract |
In sequence analysis the multiple alignment builds the fundament of all proceeding analyses. Errors in an alignment could strongly influence all succeeding analyses and therefore could lead to wrong predictions. Hand-crafted and hand-improved alignments are necessary and meanwhile good common practice. For RNA sequences often the primary sequence as well as a secondary structure consensus is well known, e.g., the cloverleaf structure of the t-RNA. Recently, some alignment editors are proposed that are able to include and model both kinds of information. However, with the advent of a large amount of reliable RNA sequences together with their solved secondary structures (available from e.g. the ITS2 Database), we are faced with the problem to handle sequences and their associated secondary structures synchronously. |
Mendeley readers
The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 9 | 3% |
| United States | 6 | 2% |
| Brazil | 5 | 1% |
| United Kingdom | 4 | 1% |
| Portugal | 3 | <1% |
| France | 3 | <1% |
| Canada | 2 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 306 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 114 | 33% |
| Researcher | 68 | 19% |
| Student > Master | 51 | 15% |
| Student > Bachelor | 23 | 7% |
| Student > Doctoral Student | 15 | 4% |
| Other | 50 | 14% |
| Unknown | 28 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 164 | 47% |
| Computer Science | 64 | 18% |
| Biochemistry, Genetics and Molecular Biology | 43 | 12% |
| Engineering | 9 | 3% |
| Mathematics | 9 | 3% |
| Other | 24 | 7% |
| Unknown | 36 | 10% |
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 20 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
#23,887
of 68,433 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 59 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 68,433 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.