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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
|
|---|---|
| Published in |
Frontiers in immunology, June 2020
|
| DOI | 10.3389/fimmu.2020.01304 |
| Pubmed ID | |
| Authors |
Carolina Barra, Chloe Ackaert, Birkir Reynisson, Jana Schockaert, Leon Eyrich Jessen, Mark Watson, Anne Jang, Simon Comtois-Marotte, Jean-Philippe Goulet, Sofie Pattijn, Eustache Paramithiotis, Morten Nielsen |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Agricultural and Biological Sciences | 5 | 11% |
| Social Sciences | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 19 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 August 2020.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from Frontiers in immunology
#18,354
of 31,554 outputs
Outputs of similar age
#266,119
of 434,556 outputs
Outputs of similar age from Frontiers in immunology
#507
of 753 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 36th percentile – i.e., 36% 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 434,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 753 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.