| Title |
POPISK: T-cell reactivity prediction using support vector machines and string kernels
|
|---|---|
| Published in |
BMC Bioinformatics, November 2011
|
| DOI | 10.1186/1471-2105-12-446 |
| Pubmed ID | |
| Authors |
Chun-Wei Tung, Matthias Ziehm, Andreas Kämper, Oliver Kohlbacher, Shinn-Ying Ho |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Taiwan | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 25% |
| Student > Ph. D. Student | 25 | 22% |
| Student > Master | 17 | 15% |
| Student > Bachelor | 10 | 9% |
| Other | 9 | 8% |
| Other | 13 | 12% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 32% |
| Biochemistry, Genetics and Molecular Biology | 21 | 19% |
| Immunology and Microbiology | 9 | 8% |
| Chemistry | 8 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 12 | 11% |
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 18 May 2022.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,006
of 7,793 outputs
Outputs of similar age
#31,575
of 157,471 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 123 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 157,471 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 75% of its contemporaries.
We're also able to compare this research output to 123 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 69% of its contemporaries.