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Mendeley readers
Attention Score in Context
| Title |
A support vector machine based test for incongruence between sets of trees in tree space
|
|---|---|
| Published in |
BMC Bioinformatics, August 2012
|
| DOI | 10.1186/1471-2105-13-210 |
| Pubmed ID | |
| Authors |
David C Haws, Peter Huggins, Eric M O’Neill, David W Weisrock, Ruriko Yoshida |
| Abstract |
The increased use of multi-locus data sets for phylogenetic reconstruction has increased the need to determine whether a set of gene trees significantly deviate from the phylogenetic patterns of other genes. Such unusual gene trees may have been influenced by other evolutionary processes such as selection, gene duplication, or horizontal gene transfer. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| India | 1 | 3% |
| Unknown | 28 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 29% |
| Researcher | 5 | 16% |
| Lecturer | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 26% |
| Chemistry | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 3 | 10% |
| Medicine and Dentistry | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
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 21 August 2012.
All research outputs
#15,249,959
of 22,675,759 outputs
Outputs from BMC Bioinformatics
#5,361
of 7,249 outputs
Outputs of similar age
#107,519
of 169,206 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 101 outputs
Altmetric has tracked 22,675,759 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 7,249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 169,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.