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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
PeptX: Using Genetic Algorithms to optimize peptides for MHC binding
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-241 |
| Pubmed ID | |
| Authors |
Bernhard Knapp, Verena Giczi, Reiner Ribarics, Wolfgang Schreiner |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| Ireland | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 35% |
| Student > Master | 6 | 18% |
| Researcher | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 41% |
| Chemistry | 7 | 21% |
| Computer Science | 4 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 December 2018.
All research outputs
#4,090,603
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#1,553
of 7,375 outputs
Outputs of similar age
#21,173
of 115,351 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 99 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 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 done well, scoring higher than 78% 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 115,351 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.