| Title |
Immunogenicity of Therapeutic Proteins: The Use of Animal Models
|
|---|---|
| Published in |
Pharmaceutical Research, July 2011
|
| DOI | 10.1007/s11095-011-0523-5 |
| Pubmed ID | |
| Authors |
Vera Brinks, Wim Jiskoot, Huub Schellekens |
| Abstract |
Immunogenicity of therapeutic proteins lowers patient well-being and drastically increases therapeutic costs. Preventing immunogenicity is an important issue to consider when developing novel therapeutic proteins and applying them in the clinic. Animal models are increasingly used to study immunogenicity of therapeutic proteins. They are employed as predictive tools to assess different aspects of immunogenicity during drug development and have become vital in studying the mechanisms underlying immunogenicity of therapeutic proteins. However, the use of animal models needs critical evaluation. Because of species differences, predictive value of such models is limited, and mechanistic studies can be restricted. This review addresses the suitability of animal models for immunogenicity prediction and summarizes the insights in immunogenicity that they have given so far. |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| Portugal | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 223 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 21% |
| Student > Ph. D. Student | 46 | 20% |
| Student > Master | 26 | 11% |
| Student > Bachelor | 20 | 9% |
| Other | 18 | 8% |
| Other | 32 | 14% |
| Unknown | 38 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 29% |
| Biochemistry, Genetics and Molecular Biology | 30 | 13% |
| Medicine and Dentistry | 24 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 18 | 8% |
| Immunology and Microbiology | 13 | 6% |
| Other | 33 | 15% |
| Unknown | 44 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 17 October 2023.
All research outputs
#2,538,466
of 23,342,092 outputs
Outputs from Pharmaceutical Research
#122
of 2,888 outputs
Outputs of similar age
#12,381
of 117,735 outputs
Outputs of similar age from Pharmaceutical Research
#1
of 41 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,888 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 117,735 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 88% of its contemporaries.
We're also able to compare this research output to 41 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 97% of its contemporaries.