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X Demographics
Mendeley readers
Attention Score in Context
| Title |
STELLAR: fast and exact local alignments
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-s9-s15 |
| Pubmed ID | |
| Authors |
Birte Kehr, David Weese, Knut Reinert |
| Abstract |
Large-scale comparison of genomic sequences requires reliable tools for the search of local alignments. Practical local aligners are in general fast, but heuristic, and hence sometimes miss significant matches. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 6% |
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 45 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 12 | 23% |
| Professor > Associate Professor | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Postgraduate | 5 | 10% |
| Other | 7 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 46% |
| Computer Science | 12 | 23% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Medicine and Dentistry | 3 | 6% |
| Physics and Astronomy | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 October 2013.
All research outputs
#14,142,336
of 22,661,413 outputs
Outputs from BMC Bioinformatics
#4,707
of 7,241 outputs
Outputs of similar age
#86,770
of 132,946 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 83 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,241 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 30th percentile – i.e., 30% 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 132,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.