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Mendeley readers
Attention Score in Context
| Title |
Concept and application of a computational vaccinology workflow
|
|---|---|
| Published in |
Immunome Research, November 2010
|
| DOI | 10.1186/1745-7580-6-s2-s7 |
| Pubmed ID | |
| Authors |
Johannes Söllner, Andreas Heinzel, Georg Summer, Raul Fechete, Laszlo Stipkovits, Susan Szathmary, Bernd Mayer |
| Abstract |
The last years have seen a renaissance of the vaccine area, driven by clinical needs in infectious diseases but also chronic diseases such as cancer and autoimmune disorders. Equally important are technological improvements involving nano-scale delivery platforms as well as third generation adjuvants. In parallel immunoinformatics routines have reached essential maturity for supporting central aspects in vaccinology going beyond prediction of antigenic determinants. On this basis computational vaccinology has emerged as a discipline aimed at ab-initio rational vaccine design.Here we present a computational workflow for implementing computational vaccinology covering aspects from vaccine target identification to functional characterization and epitope selection supported by a Systems Biology assessment of central aspects in host-pathogen interaction. We exemplify the procedures for Epstein Barr Virus (EBV), a clinically relevant pathogen causing chronic infection and suspected of triggering malignancies and autoimmune disorders. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Netherlands | 1 | 2% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| Denmark | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 58 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 10 | 16% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 14 | 22% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 45% |
| Computer Science | 5 | 8% |
| Medicine and Dentistry | 5 | 8% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 November 2011.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Immunome Research
#66
of 67 outputs
Outputs of similar age
#104,308
of 110,007 outputs
Outputs of similar age from Immunome Research
#10
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 67 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 110,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.