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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A new, fast algorithm for detecting protein coevolution using maximum compatible cliques
|
|---|---|
| Published in |
Algorithms for Molecular Biology, June 2011
|
| DOI | 10.1186/1748-7188-6-17 |
| Pubmed ID | |
| Authors |
Alex Rodionov, Alexandr Bezginov, Jonathan Rose, Elisabeth RM Tillier |
| Abstract |
The MatrixMatchMaker algorithm was recently introduced to detect the similarity between phylogenetic trees and thus the coevolution between proteins. MMM finds the largest common submatrices between pairs of phylogenetic distance matrices, and has numerous advantages over existing methods of coevolution detection. However, these advantages came at the cost of a very long execution time. |
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 % |
|---|---|---|
| Japan | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| France | 1 | 2% |
| Switzerland | 1 | 2% |
| China | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 41 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Ph. D. Student | 9 | 19% |
| Student > Postgraduate | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 49% |
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Computer Science | 5 | 11% |
| Immunology and Microbiology | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 3 | 6% |
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 02 October 2011.
All research outputs
#18,297,449
of 22,653,392 outputs
Outputs from Algorithms for Molecular Biology
#197
of 264 outputs
Outputs of similar age
#96,071
of 113,574 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 4 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 12th percentile – i.e., 12% 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 113,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them