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Proteogenomics

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Attention for Chapter 11: Antibody-Based Proteomics.
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Chapter title
Antibody-Based Proteomics.
Chapter number 11
Book title
Proteogenomics
Published in
Advances in experimental medicine and biology, September 2016
DOI 10.1007/978-3-319-42316-6_11
Pubmed ID
Book ISBNs
978-3-31-942314-2, 978-3-31-942316-6
Authors

Christer Wingren

Editors

Ákos Végvári

Abstract

Antibody-based proteomic approaches play an important role in high-throughput, multiplexed protein expression profiling in health and disease. These antibody-based technologies will provide (miniaturized) set-ups capable of the simultaneously profiling of numerous proteins in a specific, sensitive, and rapid manner, targeting high- as well as low-abundant proteins, even in crude proteomes such as serum. The generated protein expression patterns, or proteomic snapshots, can then be transformed into proteomic maps, or detailed molecular fingerprints, revealing the composition of the target (sample) proteome at a molecular level. By using bioinformatics, candidate biomarker signatures can be deciphered and evaluated for clinical applicability. The approaches will provide unique opportunities for e.g. disease diagnostics, biomarker discovery, patient stratification, predicting disease recurrence, and evidence-based therapy selection. In this review, we describe the current status of the antibody-based proteomic approaches, focusing on antibody arrays. Furthermore, the current benefits and limitations of the approaches, as well as a set of selected key applications outlining the applicative potential will be discussed.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Student > Master 7 20%
Researcher 3 9%
Student > Bachelor 3 9%
Professor 1 3%
Other 1 3%
Unknown 13 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 5 14%
Neuroscience 2 6%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 July 2017.
All research outputs
#14,862,678
of 22,890,496 outputs
Outputs from Advances in experimental medicine and biology
#2,270
of 4,952 outputs
Outputs of similar age
#194,462
of 322,482 outputs
Outputs of similar age from Advances in experimental medicine and biology
#53
of 119 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,952 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 49th percentile – i.e., 49% 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 322,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 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 50% of its contemporaries.