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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Properties of MHC Class I Presented Peptides That Enhance Immunogenicity
|
|---|---|
| Published in |
PLoS Computational Biology, October 2013
|
| DOI | 10.1371/journal.pcbi.1003266 |
| Pubmed ID | |
| Authors |
Jorg J. A. Calis, Matt Maybeno, Jason A. Greenbaum, Daniela Weiskopf, Aruna D. De Silva, Alessandro Sette, Can Keşmir, Bjoern Peters |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Czechia | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 703 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 1% |
| United Kingdom | 3 | <1% |
| Denmark | 3 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Mexico | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 679 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 17% |
| Researcher | 119 | 17% |
| Student > Master | 90 | 13% |
| Student > Bachelor | 87 | 12% |
| Other | 38 | 5% |
| Other | 89 | 13% |
| Unknown | 158 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 165 | 23% |
| Agricultural and Biological Sciences | 138 | 20% |
| Immunology and Microbiology | 78 | 11% |
| Medicine and Dentistry | 36 | 5% |
| Chemistry | 22 | 3% |
| Other | 91 | 13% |
| Unknown | 173 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 27 July 2022.
All research outputs
#2,634,680
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#2,336
of 9,038 outputs
Outputs of similar age
#23,688
of 228,848 outputs
Outputs of similar age from PLoS Computational Biology
#34
of 143 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 74% 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 228,848 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 89% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.