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Propelling the paradigm shift from reductionism to systems nutrition

Overview of attention for article published in Genes & Nutrition, January 2017
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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8 X users
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1 Facebook page

Citations

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10 Dimensions

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56 Mendeley
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Title
Propelling the paradigm shift from reductionism to systems nutrition
Published in
Genes & Nutrition, January 2017
DOI 10.1186/s12263-016-0549-8
Pubmed ID
Authors

Jim Kaput, Giuditta Perozzi, Marijana Radonjic, Fabio Virgili

Abstract

The complex physiology of living organisms represents a challenge for mechanistic understanding of the action of dietary bioactives in the human body and of their possible role in health and disease. Animal, cell, and microbial models have been extensively used to address questions that could not be pursued experimentally in humans, posing an additional level of complexity in translation of the results to healthy and diseased metabolism. The past few decades have witnessed a surge in development of increasingly sensitive molecular techniques and bioinformatic tools for storing, managing, and analyzing increasingly large datasets. Application of such powerful means to molecular nutrition research led to a major leap in study designs and experimental approaches yielding experimental data connecting dietary components to human health. Scientific journals bear major responsibilities in the advancement of science. As primary actors of dissemination to the scientific community, journals can impose rigid criteria for publishing only sound, reliable, and reproducible data. Journal policies are meant to guide potential authors to adopt the most updated standardization guidelines and shared best practices. Such policies evolve in parallel with the evolution of novel approaches and emerging challenges and therefore require constant updating. We highlight in this manuscript the major scientific issues that led to formulating new, updated journal policies for Genes & Nutrition, a journal which targets the growing field of nutritional systems biology interfacing personalized nutrition and preventive medicine, with the ultimate goal of promoting health and preventing or treating disease. We focus here on relevant issues requiring standardization in nutrition research. We also introduce new sections on human genetic variation and nutritional bioinformatics which follow the evolution of nutritional science into the twenty-first century.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 23%
Researcher 11 20%
Student > Ph. D. Student 8 14%
Other 4 7%
Professor 4 7%
Other 7 13%
Unknown 9 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Nursing and Health Professions 10 18%
Agricultural and Biological Sciences 10 18%
Medicine and Dentistry 4 7%
Chemistry 3 5%
Other 7 13%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 June 2022.
All research outputs
#6,393,996
of 23,931,222 outputs
Outputs from Genes & Nutrition
#123
of 398 outputs
Outputs of similar age
#115,940
of 424,793 outputs
Outputs of similar age from Genes & Nutrition
#1
of 10 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 398 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 68% 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 424,793 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them