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Chapter title |
Multiplex Immunoassay Profiling.
|
---|---|
Chapter number | 13 |
Book title |
Multiplex Biomarker Techniques
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6730-8_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6729-2, 978-1-4939-6730-8
|
Authors |
Laurie Stephen |
Editors |
Paul C. Guest |
Abstract |
Multiplex immunoassays allow for the rapid profiling of biomarker proteins in biological fluids, using less sample and labor than single immunoassays. This chapter details the methods to develop and manufacture multiplex assays for the Luminex(®) platform. Although assay development is not included here, the same methods can be used to covalently couple antibodies to the Luminex beads and to label antibodies for the screening of sandwich pairs, if needed. The assay optimization, detection of cross-reactivity, and minimizing antibody interactions and matrix interferences will be addressed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 27% |
Researcher | 5 | 23% |
Student > Doctoral Student | 3 | 14% |
Student > Master | 2 | 9% |
Student > Ph. D. Student | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 23% |
Agricultural and Biological Sciences | 3 | 14% |
Immunology and Microbiology | 2 | 9% |
Neuroscience | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Other | 3 | 14% |
Unknown | 5 | 23% |
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 12 April 2017.
All research outputs
#15,398,970
of 22,908,162 outputs
Outputs from Methods in molecular biology
#5,357
of 13,132 outputs
Outputs of similar age
#256,356
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#466
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.