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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ACG: rapid inference of population history from recombining nucleotide sequences
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-40 |
| Pubmed ID | |
| Authors |
Brendan D O'Fallon |
| Abstract |
Reconstruction of population history from genetic data often requires Monte Carlo integration over the genealogy of the samples. Among tools that perform such computations, few are able to consider genetic histories including recombination events, precluding their use on most alignments of nuclear DNA. Explicit consideration of recombinations requires modeling the history of the sequences with an Ancestral Recombination Graph (ARG) in place of a simple tree, which presents significant computational challenges. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 11% |
| Brazil | 2 | 5% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| France | 1 | 3% |
| Unknown | 28 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Ph. D. Student | 9 | 24% |
| Professor | 5 | 14% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 68% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Arts and Humanities | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Philosophy | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 3 | 8% |
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 05 February 2013.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#6,486
of 7,454 outputs
Outputs of similar age
#225,419
of 288,486 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 135 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,454 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 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 288,486 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.