| Title |
NetMHCpan, a method for MHC class I binding prediction beyond humans
|
|---|---|
| Published in |
Immunogenetics, November 2008
|
| DOI | 10.1007/s00251-008-0341-z |
| Pubmed ID | |
| Authors |
Ilka Hoof, Bjoern Peters, John Sidney, Lasse Eggers Pedersen, Alessandro Sette, Ole Lund, Søren Buus, Morten Nielsen |
Mendeley readers
The data shown below were compiled from readership statistics for 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 1% |
| United Kingdom | 3 | <1% |
| Denmark | 3 | <1% |
| Argentina | 2 | <1% |
| India | 2 | <1% |
| Brazil | 1 | <1% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 494 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 118 | 23% |
| Researcher | 104 | 20% |
| Student > Master | 61 | 12% |
| Student > Bachelor | 54 | 10% |
| Other | 23 | 4% |
| Other | 75 | 14% |
| Unknown | 83 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 147 | 28% |
| Biochemistry, Genetics and Molecular Biology | 92 | 18% |
| Immunology and Microbiology | 56 | 11% |
| Medicine and Dentistry | 40 | 8% |
| Computer Science | 30 | 6% |
| Other | 56 | 11% |
| Unknown | 97 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 March 2024.
All research outputs
#3,873,876
of 25,837,817 outputs
Outputs from Immunogenetics
#65
of 1,222 outputs
Outputs of similar age
#12,321
of 102,618 outputs
Outputs of similar age from Immunogenetics
#1
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 90% 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 102,618 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 84% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them