You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
SIMPROT: Using an empirically determined indel distribution in simulations of protein evolution
|
|---|---|
| Published in |
BMC Bioinformatics, September 2005
|
| DOI | 10.1186/1471-2105-6-236 |
| Pubmed ID | |
| Authors |
Andy Pang, Andrew D Smith, Paulo AS Nuin, Elisabeth RM Tillier |
| Abstract |
General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis and for the computer simulation of artificial sequence data sets. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| United Kingdom | 2 | 4% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Spain | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 45 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Researcher | 9 | 17% |
| Student > Master | 7 | 13% |
| Professor > Associate Professor | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Other | 10 | 19% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 43% |
| Computer Science | 11 | 20% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Social Sciences | 3 | 6% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 5 | 9% |
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 03 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from BMC Bioinformatics
#6,845
of 7,273 outputs
Outputs of similar age
#57,224
of 59,057 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 21 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 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 1st percentile – i.e., 1% 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 59,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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.