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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets
|
|---|---|
| Published in |
Genome Medicine, March 2016
|
| DOI | 10.1186/s13073-016-0288-x |
| Pubmed ID | |
| Authors |
Morten Nielsen, Massimo Andreatta |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| United Kingdom | 2 | 20% |
| Germany | 1 | 10% |
| Singapore | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 90% |
| Members of the public | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 436 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 2 | <1% |
| United States | 2 | <1% |
| Denmark | 2 | <1% |
| Canada | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 427 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 94 | 22% |
| Researcher | 78 | 18% |
| Student > Master | 65 | 15% |
| Student > Bachelor | 36 | 8% |
| Other | 21 | 5% |
| Other | 68 | 16% |
| Unknown | 74 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 22% |
| Biochemistry, Genetics and Molecular Biology | 89 | 20% |
| Immunology and Microbiology | 47 | 11% |
| Computer Science | 36 | 8% |
| Medicine and Dentistry | 33 | 8% |
| Other | 51 | 12% |
| Unknown | 83 | 19% |
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 11 November 2021.
All research outputs
#2,590,261
of 25,837,817 outputs
Outputs from Genome Medicine
#581
of 1,611 outputs
Outputs of similar age
#40,572
of 317,592 outputs
Outputs of similar age from Genome Medicine
#22
of 40 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 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 63% 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 317,592 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 86% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.