| Title |
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
|
|---|---|
| Published in |
BMC Bioinformatics, July 2007
|
| DOI | 10.1186/1471-2105-8-238 |
| Pubmed ID | |
| Authors |
Morten Nielsen, Claus Lundegaard, Ole Lund |
Mendeley readers
The data shown below were compiled from readership statistics for 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Germany | 4 | <1% |
| Denmark | 3 | <1% |
| Kenya | 2 | <1% |
| Argentina | 2 | <1% |
| Brazil | 2 | <1% |
| Chile | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 400 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 21% |
| Researcher | 65 | 15% |
| Student > Bachelor | 59 | 14% |
| Student > Master | 55 | 13% |
| Other | 18 | 4% |
| Other | 55 | 13% |
| Unknown | 86 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 103 | 24% |
| Biochemistry, Genetics and Molecular Biology | 81 | 19% |
| Immunology and Microbiology | 39 | 9% |
| Medicine and Dentistry | 26 | 6% |
| Computer Science | 26 | 6% |
| Other | 52 | 12% |
| Unknown | 99 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 February 2024.
All research outputs
#4,806,043
of 23,213,531 outputs
Outputs from BMC Bioinformatics
#1,833
of 7,354 outputs
Outputs of similar age
#13,230
of 68,999 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 47 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 68,999 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.