| Title |
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
|
|---|---|
| Published in |
Immunogenetics, September 2015
|
| DOI | 10.1007/s00251-015-0873-y |
| Pubmed ID | |
| Authors |
Massimo Andreatta, Edita Karosiene, Michael Rasmussen, Anette Stryhn, Søren Buus, Morten Nielsen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Denmark | 2 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Argentina | 1 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 284 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 21% |
| Researcher | 55 | 19% |
| Student > Master | 44 | 15% |
| Student > Bachelor | 27 | 9% |
| Other | 16 | 5% |
| Other | 39 | 13% |
| Unknown | 52 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 23% |
| Biochemistry, Genetics and Molecular Biology | 62 | 21% |
| Immunology and Microbiology | 28 | 10% |
| Computer Science | 23 | 8% |
| Medicine and Dentistry | 22 | 7% |
| Other | 35 | 12% |
| Unknown | 57 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 April 2024.
All research outputs
#2,331,094
of 26,017,215 outputs
Outputs from Immunogenetics
#23
of 1,231 outputs
Outputs of similar age
#31,122
of 289,880 outputs
Outputs of similar age from Immunogenetics
#1
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,231 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 289,880 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 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.