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Mendeley readers
Attention Score in Context
| Title |
Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan
|
|---|---|
| Published in |
PLoS Computational Biology, July 2008
|
| DOI | 10.1371/journal.pcbi.1000107 |
| Pubmed ID | |
| Authors |
Morten Nielsen, Claus Lundegaard, Thomas Blicher, Bjoern Peters, Alessandro Sette, Sune Justesen, Søren Buus, Ole Lund |
Mendeley readers
The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Canada | 3 | 1% |
| Denmark | 2 | <1% |
| United States | 2 | <1% |
| Argentina | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 252 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 22% |
| Student > Ph. D. Student | 51 | 19% |
| Student > Master | 31 | 11% |
| Student > Bachelor | 28 | 10% |
| Other | 21 | 8% |
| Other | 38 | 14% |
| Unknown | 42 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 31% |
| Biochemistry, Genetics and Molecular Biology | 39 | 14% |
| Computer Science | 23 | 9% |
| Immunology and Microbiology | 21 | 8% |
| Medicine and Dentistry | 19 | 7% |
| Other | 37 | 14% |
| Unknown | 46 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2023.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,683
of 9,043 outputs
Outputs of similar age
#34,088
of 96,496 outputs
Outputs of similar age from PLoS Computational Biology
#22
of 39 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 96,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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.