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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-298 |
| Pubmed ID | |
| Authors |
Philippe Gouret, Julie D Thompson, Pierre Pontarotti |
| Abstract |
To effectively apply evolutionary concepts in genome-scale studies, large numbers of phylogenetic trees have to be automatically analysed, at a level approaching human expertise. Complex architectures must be recognized within the trees, so that associated information can be extracted. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 3 | 4% |
| Sweden | 2 | 3% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| Australia | 1 | 1% |
| France | 1 | 1% |
| Netherlands | 1 | 1% |
| United Kingdom | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 56 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 34% |
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 5 | 7% |
| Professor | 4 | 5% |
| Professor > Associate Professor | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 58% |
| Computer Science | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Engineering | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 6 | 8% |
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 12 December 2012.
All research outputs
#20,472,313
of 25,161,628 outputs
Outputs from BMC Bioinformatics
#6,655
of 7,656 outputs
Outputs of similar age
#93,491
of 101,844 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 54 outputs
Altmetric has tracked 25,161,628 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,656 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 101,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.