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Mendeley readers
Attention Score in Context
Title |
Fast-Find: A novel computational approach to analyzing combinatorial motifs
|
---|---|
Published in |
BMC Bioinformatics, January 2006
|
DOI | 10.1186/1471-2105-7-1 |
Pubmed ID | |
Authors |
Micah Hamady, Erin Peden, Rob Knight, Ravinder Singh |
Abstract |
Many vital biological processes, including transcription and splicing, require a combination of short, degenerate sequence patterns, or motifs, adjacent to defined sequence features. Although these motifs occur frequently by chance, they only have biological meaning within a specific context. Identifying transcripts that contain meaningful combinations of patterns is thus an important problem, which existing tools address poorly. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 9% |
United Kingdom | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 19 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 30% |
Student > Doctoral Student | 2 | 9% |
Lecturer | 2 | 9% |
Student > Bachelor | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Other | 5 | 22% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 57% |
Computer Science | 4 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Unknown | 5 | 22% |
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 26 October 2010.
All research outputs
#12,851,465
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,240 outputs
Outputs of similar age
#127,706
of 154,075 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 37 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,240 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 45th percentile – i.e., 45% 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 154,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.