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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
|
|---|---|
| Published in |
BMC Bioinformatics, April 2011
|
| DOI | 10.1186/1471-2105-12-104 |
| Pubmed ID | |
| Authors |
Botond Sipos, Tim Massingham, Gregory E Jordan, Nick Goldman |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 7% |
| United Kingdom | 5 | 3% |
| Brazil | 2 | 1% |
| France | 2 | 1% |
| Spain | 2 | 1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 119 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 27% |
| Student > Ph. D. Student | 37 | 26% |
| Student > Master | 13 | 9% |
| Student > Doctoral Student | 8 | 6% |
| Student > Bachelor | 8 | 6% |
| Other | 31 | 22% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 60% |
| Biochemistry, Genetics and Molecular Biology | 19 | 13% |
| Computer Science | 11 | 8% |
| Medicine and Dentistry | 3 | 2% |
| Mathematics | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 October 2016.
All research outputs
#6,957,935
of 22,817,213 outputs
Outputs from BMC Bioinformatics
#2,682
of 7,284 outputs
Outputs of similar age
#37,299
of 109,278 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 64 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 109,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.