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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epitopemap: a web application for integrated whole proteome epitope prediction
|
|---|---|
| Published in |
BMC Bioinformatics, July 2015
|
| DOI | 10.1186/s12859-015-0659-0 |
| Pubmed ID | |
| Authors |
Damien Farrell, Stephen V Gordon |
| Abstract |
Predictions of MHC binding affinity are commonly used in immunoinformatics for T cell epitope prediction. There are multiple available methods, some of which provide web access. However there is currently no convenient way to access the results from multiple methods at the same time or to execute predictions for an entire proteome at once. We designed a web application that allows integration of multiple epitope prediction methods for any number of proteins in a genome. The tool is a front-end for various freely available methods. Features include visualisation of results from multiple predictors within proteins in one plot, genome-wide analysis and estimates of epitope conservation. We present a self contained web application, Epitopemap, for calculating and viewing epitope predictions with multiple methods. The tool is easy to use and will assist in computational screening of viral or bacterial genomes. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 18% |
| United States | 2 | 18% |
| Canada | 1 | 9% |
| Belgium | 1 | 9% |
| Italy | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 8 | 16% |
| Other | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 24% |
| Biochemistry, Genetics and Molecular Biology | 9 | 18% |
| Computer Science | 5 | 10% |
| Immunology and Microbiology | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 February 2016.
All research outputs
#5,591,142
of 23,321,213 outputs
Outputs from BMC Bioinformatics
#1,978
of 7,385 outputs
Outputs of similar age
#63,232
of 263,785 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 114 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 263,785 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 75% of its contemporaries.
We're also able to compare this research output to 114 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 68% of its contemporaries.