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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics
|
|---|---|
| Published in |
BMC Bioinformatics, July 2010
|
| DOI | 10.1186/1471-2105-11-379 |
| Pubmed ID | |
| Authors |
Raphaël Helaers, Michel C Milinkovitch |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 6% |
| Brazil | 3 | 2% |
| Sweden | 3 | 2% |
| United Kingdom | 2 | 2% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 109 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 25% |
| Researcher | 28 | 21% |
| Student > Master | 15 | 11% |
| Professor > Associate Professor | 9 | 7% |
| Professor | 7 | 5% |
| Other | 25 | 19% |
| Unknown | 14 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 65% |
| Computer Science | 13 | 10% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Medicine and Dentistry | 2 | 2% |
| Environmental Science | 2 | 2% |
| Other | 7 | 5% |
| Unknown | 15 | 11% |
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 26 February 2013.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from BMC Bioinformatics
#6,289
of 7,254 outputs
Outputs of similar age
#84,980
of 94,719 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 59 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 5th percentile – i.e., 5% 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 94,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.