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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, January 2014
|
| DOI | 10.1186/1471-2105-15-3 |
| Pubmed ID | |
| Authors |
Tao Yang, Hong-Wen Deng, Tianhua Niu |
| Abstract |
Coalescent simulation is pivotal for understanding population evolutionary models and demographic histories, as well as for developing novel analytical methods for genetic association studies for DNA sequence data. A plethora of coalescent simulators are developed, but selecting the most appropriate program remains challenging. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 61 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 35% |
| Student > Master | 10 | 16% |
| Researcher | 9 | 14% |
| Professor | 5 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 56% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Computer Science | 4 | 6% |
| Environmental Science | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 5 | 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 04 May 2014.
All research outputs
#19,518,769
of 24,001,212 outputs
Outputs from BMC Bioinformatics
#6,515
of 7,492 outputs
Outputs of similar age
#237,161
of 312,673 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 108 outputs
Altmetric has tracked 24,001,212 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 7,492 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 312,673 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.