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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reconciling taxonomy and phylogenetic inference: formalism and algorithms for describing discord and inferring taxonomic roots
|
|---|---|
| Published in |
Algorithms for Molecular Biology, May 2012
|
| DOI | 10.1186/1748-7188-7-8 |
| Pubmed ID | |
| Authors |
Frederick A Matsen, Aaron Gallagher |
| Abstract |
Although taxonomy is often used informally to evaluate the results of phylogenetic inference and the root of phylogenetic trees, algorithmic methods to do so are lacking. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Brazil | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Argentina | 1 | 3% |
| Canada | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 23 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 34% |
| Researcher | 11 | 34% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 69% |
| Computer Science | 5 | 16% |
| Immunology and Microbiology | 2 | 6% |
| Physics and Astronomy | 1 | 3% |
| Unknown | 2 | 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 May 2012.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from Algorithms for Molecular Biology
#148
of 264 outputs
Outputs of similar age
#104,313
of 163,461 outputs
Outputs of similar age from Algorithms for Molecular Biology
#5
of 8 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 34th percentile – i.e., 34% 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 163,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.