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Protein Microarray for Disease Analysis

Overview of attention for book
Cover of 'Protein Microarray for Disease Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting and Quantifying Multiple Proteins in Clinical Samples in High-Throughput Using Antibody Microarrays
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    Chapter 2 Analysis of Serum Protein Glycosylation with Antibody–Lectin Microarray for High-Throughput Biomarker Screening
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    Chapter 3 Antibody Suspension Bead Arrays
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    Chapter 4 Reverse Protein Arrays Applied to Host–Pathogen Interaction Studies
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    Chapter 5 Identification and Optimization of DNA Aptamer Binding Regions Using DNA Microarrays
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    Chapter 6 Recombinant Lectin Microarrays for Glycomic Analysis
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    Chapter 7 Recombinant antigen microarrays for serum/plasma antibody detection.
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    Chapter 8 SPOT Synthesis as a Tool to Study Protein–Protein Interactions
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    Chapter 9 Native Antigen Fractionation Protein Microarrays for Biomarker Discovery
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    Chapter 10 Immunoprofiling using NAPPA protein microarrays.
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    Chapter 11 High-Throughput Mammalian Two-Hybrid Screening for Protein–Protein Interactions Using Transfected Cell Arrays (CAPPIA)
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    Chapter 12 Protein–Protein Interactions: An Application of Tus-Ter Mediated Protein Microarray System
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    Chapter 13 Kinase Substrate Interactions
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    Chapter 14 A Functional Protein Microarray Approach to Characterizing Posttranslational Modifications on Lysine Residues
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    Chapter 15 Multiplexed detection of antibodies using programmable bead arrays.
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    Chapter 16 A Coprecipitation-Based Validation Methodology for Interactions Identified Using Protein Microarrays
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    Chapter 17 Development of Expression-Ready Constructs for Generation of Proteomic Libraries
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    Chapter 18 Reverse Phase Protein Microarrays: Fluorometric and Colorimetric Detection
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    Chapter 19 Förster Resonance Energy Transfer Methods for Quantification of Protein–Protein Interactions on Microarrays
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    Chapter 20 Label-Free Detection with Surface Plasmon Resonance Imaging
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    Chapter 21 Data Processing and Analysis for Protein Microarrays
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    Chapter 22 Database Resources for Proteomics-Based Analysis of Cancer
Attention for Chapter 10: Immunoprofiling using NAPPA protein microarrays.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
1 CiteULike
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Chapter title
Immunoprofiling using NAPPA protein microarrays.
Chapter number 10
Book title
Protein Microarray for Disease Analysis
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-043-0_10
Pubmed ID
Book ISBNs
978-1-61779-042-3, 978-1-61779-043-0
Authors

Sibani S, LaBaer J, Sahar Sibani, Joshua LaBaer, Sibani, Sahar, LaBaer, Joshua

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 3%
South Africa 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 35%
Researcher 7 23%
Student > Master 4 13%
Student > Bachelor 3 10%
Professor > Associate Professor 3 10%
Other 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Biochemistry, Genetics and Molecular Biology 5 16%
Medicine and Dentistry 5 16%
Immunology and Microbiology 4 13%
Chemistry 2 6%
Other 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2017.
All research outputs
#4,738,192
of 22,953,506 outputs
Outputs from Methods in molecular biology
#1,380
of 13,137 outputs
Outputs of similar age
#31,601
of 181,513 outputs
Outputs of similar age from Methods in molecular biology
#37
of 230 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% 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 181,513 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 78% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.