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Attention Score in Context
| Title |
MCOIN: a novel heuristic for determining transcription factor binding site motif width
|
|---|---|
| Published in |
Algorithms for Molecular Biology, June 2013
|
| DOI | 10.1186/1748-7188-8-16 |
| Pubmed ID | |
| Authors |
Alastair M Kilpatrick, Bruce Ward, Stuart Aitken |
| Abstract |
In transcription factor binding site discovery, the true width of the motif to be discovered is generally not known a priori. The ability to compute the most likely width of a motif is therefore a highly desirable property for motif discovery algorithms. However, this is a challenging computational problem as a result of changing model dimensionality at changing motif widths. The complexity of the problem is increased as the discovered model at the true motif width need not be the most statistically significant in a set of candidate motif models. Further, the core motif discovery algorithm used cannot guarantee to return the best possible result at each candidate width. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 July 2013.
All research outputs
#20,456,168
of 25,139,853 outputs
Outputs from Algorithms for Molecular Biology
#199
of 262 outputs
Outputs of similar age
#153,532
of 202,263 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 2 outputs
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So far Altmetric has tracked 262 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.