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Protein Targeting Compounds

Overview of attention for book
Attention for Chapter 2: Protein Targeting Compounds
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 X user
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5 patents

Citations

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4 Dimensions

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177 Mendeley
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Chapter title
Protein Targeting Compounds
Chapter number 2
Book title
Protein Targeting Compounds
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-3-319-32805-8_2
Pubmed ID
Book ISBNs
978-3-31-932804-1, 978-3-31-932805-8
Authors

Hanack, Katja, Messerschmidt, Katrin, Listek, Martin, Katja Hanack, Katrin Messerschmidt, Martin Listek

Abstract

Monoclonal antibodies are universal binding molecules with a high specificity for their target and are indispensable tools in research, diagnostics and therapy. The biotechnological generation of monoclonal antibodies was enabled by the hybridoma technology published in 1975 by Köhler and Milstein. Today monoclonal antibodies are used in a variety of applications as flow cytometry, magnetic cell sorting, immunoassays or therapeutic approaches. First step of the generation process is the immunization of the organism with appropriate antigen. After a positive immune response the spleen cells are isolated and fused with myeloma cells in order to generate stable, long-living antibody-producing cell lines - hybridoma cells. In the subsequent identification step the culture supernatants of all hybridoma cells are screened weekly for the production of the antibody of interest. Hybridoma cells producing the antibody of interest are cloned by limited dilution till a monoclonal hybridoma is found. This is a very time-consuming and laborious process and therefore different selection strategies were developed since 1975 in order to facilitate the generation of monoclonal antibodies. Apart from common automation of pipetting processes and ELISA testing there are some promising approaches to select the right monoclonal antibody very early in the process to reduce time and effort of the generation. In this chapter different selection strategies for antibody-producing hybridoma cells are presented and analysed regarding to their benefits compared to conventional limited dilution technology.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 176 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 17%
Student > Master 21 12%
Student > Ph. D. Student 16 9%
Student > Doctoral Student 12 7%
Researcher 12 7%
Other 19 11%
Unknown 67 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 24%
Pharmacology, Toxicology and Pharmaceutical Science 15 8%
Medicine and Dentistry 15 8%
Agricultural and Biological Sciences 11 6%
Immunology and Microbiology 9 5%
Other 16 9%
Unknown 69 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 April 2022.
All research outputs
#4,335,977
of 23,493,900 outputs
Outputs from Advances in experimental medicine and biology
#717
of 5,033 outputs
Outputs of similar age
#72,851
of 396,881 outputs
Outputs of similar age from Advances in experimental medicine and biology
#71
of 447 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,033 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 84% 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 396,881 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 80% of its contemporaries.
We're also able to compare this research output to 447 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.