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Mendeley readers
Attention Score in Context
| Title |
PhyloExplorer: a web server to validate, explore and query phylogenetic trees
|
|---|---|
| Published in |
BMC Ecology and Evolution, May 2009
|
| DOI | 10.1186/1471-2148-9-108 |
| Pubmed ID | |
| Authors |
Vincent Ranwez, Nicolas Clairon, Frédéric Delsuc, Saeed Pourali, Nicolas Auberval, Sorel Diser, Vincent Berry |
| Abstract |
Many important problems in evolutionary biology require molecular phylogenies to be reconstructed. Phylogenetic trees must then be manipulated for subsequent inclusion in publications or analyses such as supertree inference and tree comparisons. However, no tool is currently available to facilitate the management of tree collections providing, for instance: standardisation of taxon names among trees with respect to a reference taxonomy; selection of relevant subsets of trees or sub-trees according to a taxonomic query; or simply computation of descriptive statistics on the collection. Moreover, although several databases of phylogenetic trees exist, there is currently no easy way to find trees that are both relevant and complementary to a given collection of trees. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 7% |
| Germany | 4 | 4% |
| France | 3 | 3% |
| Netherlands | 2 | 2% |
| Uruguay | 1 | 1% |
| Brazil | 1 | 1% |
| Switzerland | 1 | 1% |
| Canada | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 69 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 30% |
| Professor > Associate Professor | 15 | 16% |
| Student > Ph. D. Student | 14 | 15% |
| Professor | 8 | 9% |
| Student > Bachelor | 4 | 4% |
| Other | 16 | 18% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 65% |
| Computer Science | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Earth and Planetary Sciences | 6 | 7% |
| Environmental Science | 3 | 3% |
| Other | 3 | 3% |
| Unknown | 7 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 January 2015.
All research outputs
#3,341,331
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#899
of 3,714 outputs
Outputs of similar age
#11,397
of 105,096 outputs
Outputs of similar age from BMC Ecology and Evolution
#9
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 75% of its peers.
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 105,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.