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X Demographics
Mendeley readers
Attention Score in Context
| Title |
πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-133 |
| Pubmed ID | |
| Authors |
Filip Bielejec, Philippe Lemey, Luiz Max Carvalho, Guy Baele, Andrew Rambaut, Marc A Suchard |
| Abstract |
Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framework that focuses on reconstructing time-calibrated molecular evolutionary processes, supports a wide array of evolutionary models, but lacked matching machinery for simulation of character evolution along phylogenies. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| Unknown | 64 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 30% |
| Student > Ph. D. Student | 16 | 24% |
| Student > Master | 9 | 13% |
| Professor | 3 | 4% |
| Lecturer | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 57% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Environmental Science | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 7 | 10% |
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 08 May 2014.
All research outputs
#16,233,300
of 23,917,076 outputs
Outputs from BMC Bioinformatics
#5,514
of 7,486 outputs
Outputs of similar age
#137,328
of 230,807 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 146 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,486 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 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 230,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.