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Mendeley readers
Attention Score in Context
| Title |
Characterization of phylogenetic networks with NetTest
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-268 |
| Pubmed ID | |
| Authors |
Miguel Arenas, Mateus Patricio, David Posada, Gabriel Valiente |
| Abstract |
Typical evolutionary events like recombination, hybridization or gene transfer make necessary the use of phylogenetic networks to properly depict the evolution of DNA and protein sequences. Although several theoretical classes have been proposed to characterize these networks, they make stringent assumptions that will likely not be met by the evolutionary process. We have recently shown that the complexity of simulated networks is a function of the population recombination rate, and that at moderate and large recombination rates the resulting networks cannot be categorized. However, we do not know whether these results extend to networks estimated from real data. |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 4% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| South Africa | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 49 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 35% |
| Student > Ph. D. Student | 14 | 25% |
| Student > Master | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Other | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 61% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Arts and Humanities | 4 | 7% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 2 | 4% |
| Other | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 July 2012.
All research outputs
#3,642,654
of 22,709,015 outputs
Outputs from BMC Bioinformatics
#1,349
of 7,256 outputs
Outputs of similar age
#15,253
of 94,239 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 74 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 81% 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 94,239 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 83% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.