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Foodomics and Food Safety: Where We Are.

Overview of attention for article published in Food Technology & Biotechnology, January 2017
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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1 X user

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47 Dimensions

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Title
Foodomics and Food Safety: Where We Are.
Published in
Food Technology & Biotechnology, January 2017
DOI 10.17113/ftb.55.03.17.5044
Pubmed ID
Authors

Uroš Andjelković, Martina Šrajer Gajdošik, Dajana Gašo-Sokač, Tamara Martinović, Djuro Josić

Abstract

The power of foodomics as a discipline that is now broadly used for quality assurance of food products and adulteration identification, as well as for determining the safety of food, is presented. Concerning sample preparation and application, maintenance of highly sophisticated instruments for both high-performance and high-throughput techniques, and analysis and data interpretation, special attention has to be paid to the development of skilled analysts. The obtained data shall be integrated under a strong bioinformatics environment. Modern mass spectrometry is an extremely powerful analytical tool since it can provide direct qualitative and quantitative information about a molecule of interest from only a minute amount of sample. Quality of this information is influenced by the sample preparation procedure, the type of mass spectrometer used and the analyst's skills. Technical advances are bringing new instruments of increased sensitivity, resolution and speed to the market. Other methods presented here give additional information and can be used as complementary tools to mass spectrometry or for validation of obtained results. Genomics and transcriptomics, as well as affinity-based methods, still have a broad use in food analysis. Serious drawbacks of some of them, especially the affinity-based methods, are the cross-reactivity between similar molecules and the influence of complex food matrices. However, these techniques can be used for pre-screening in order to reduce the large number of samples. Great progress has been made in the application of bioinformatics in foodomics. These developments enabled processing of large amounts of generated data for both identification and quantification, and for corresponding modeling.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 400%
Researcher 14 350%
Student > Bachelor 14 350%
Student > Ph. D. Student 13 325%
Student > Doctoral Student 7 175%
Other 18 450%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 425%
Biochemistry, Genetics and Molecular Biology 16 400%
Chemistry 16 400%
Engineering 7 175%
Medicine and Dentistry 4 100%
Other 16 400%
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 26 March 2018.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Food Technology & Biotechnology
#51
of 125 outputs
Outputs of similar age
#267,895
of 421,709 outputs
Outputs of similar age from Food Technology & Biotechnology
#12
of 26 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% 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 421,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 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 53% of its contemporaries.