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Biomarker discovery and applications for foods and beverages: Proteomics to nanoproteomics

Overview of attention for article published in Journal of Proteomics, April 2013
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Title
Biomarker discovery and applications for foods and beverages: Proteomics to nanoproteomics
Published in
Journal of Proteomics, April 2013
DOI 10.1016/j.jprot.2013.04.014
Pubmed ID
Authors

Ganesh Kumar Agrawal, Anna Maria Timperio, Lello Zolla, Vipul Bansal, Ravi Shukla, Randeep Rakwal

Abstract

Foods and beverages have been at the heart of our society for centuries, sustaining humankind - health, life, and the pleasures that go with it. The more we grow and develop as a civilization, the more we feel the need to know about the food we eat and beverages we drink. Moreover, with an ever increasing demand for food due to the growing human population food security remains a major concern. Food safety is another growing concern as the consumers prefer varied foods and beverages that are not only traded nationally but also globally. The 21st century science and technology is at a new high, especially in the field of biological sciences. The availability of genome sequences and associated high-throughput sensitive technologies means that foods are being analyzed at various levels. For example and in particular, high-throughput omics approaches are being applied to develop suitable biomarkers for foods and beverages and their applications in addressing quality, technology, authenticity, and safety issues. Proteomics are one of those technologies that are increasingly being utilized to profile expressed proteins in different foods and beverages. Acquired knowledge and protein information have now been translated to address safety of foods and beverages. Very recently, the power of proteomic technology has been integrated with another highly sensitive and miniaturized technology called nanotechnology, yielding a new term nanoproteomics. Nanoproteomics offer a real-time multiplexed analysis performed in a miniaturized assay, with low-sample consumption and high sensitivity. To name a few, nanomaterials - quantum dots, gold nanoparticles, carbon nanotubes, and nanowires - have demonstrated potential to overcome the challenges of sensitivity faced by proteomics for biomarker detection, discovery, and application. In this review, we will discuss the importance of biomarker discovery and applications for foods and beverages, the contribution of proteomic technology in this process, and a shift towards nanoproteomics to suitably address associated issues. This article is part of a Special Issue entitled: Translational plant proteomics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 <1%
Indonesia 1 <1%
France 1 <1%
Colombia 1 <1%
Brazil 1 <1%
India 1 <1%
Mexico 1 <1%
Croatia 1 <1%
Unknown 206 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 20%
Researcher 38 18%
Student > Master 35 16%
Student > Bachelor 18 8%
Student > Doctoral Student 13 6%
Other 37 17%
Unknown 31 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 28%
Chemistry 24 11%
Biochemistry, Genetics and Molecular Biology 16 7%
Engineering 16 7%
Medicine and Dentistry 13 6%
Other 38 18%
Unknown 48 22%
Attention Score in Context

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 24 April 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Proteomics
#3,066
of 3,461 outputs
Outputs of similar age
#182,859
of 208,644 outputs
Outputs of similar age from Journal of Proteomics
#38
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 208,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.