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Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes

Overview of attention for article published in Genes & Nutrition, November 2015
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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9 X users
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1 YouTube creator

Citations

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17 Dimensions

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69 Mendeley
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Title
Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes
Published in
Genes & Nutrition, November 2015
DOI 10.1007/s12263-015-0508-9
Pubmed ID
Authors

Sébastien Lacroix, Mario Lauria, Marie-Pier Scott-Boyer, Luca Marchetti, Corrado Priami, Laura Caberlotto

Abstract

Worldwide population is aging, and a large part of the growing burden associated with age-related conditions can be prevented or delayed by promoting healthy lifestyle and normalizing metabolic risk factors. However, a better understanding of the pleiotropic effects of available nutritional interventions and their influence on the multiple processes affected by aging is needed to select and implement the most promising actions. New methods of analysis are required to tackle the complexity of the interplay between nutritional interventions and aging, and to make sense of a growing amount of -omics data being produced for this purpose. In this paper, we review how various systems biology-inspired methods of analysis can be applied to the study of the molecular basis of nutritional interventions promoting healthy aging, notably caloric restriction and polyphenol supplementation. We specifically focus on the role that different versions of network analysis, molecular signature identification and multi-omics data integration are playing in elucidating the complex mechanisms underlying nutrition, and provide some examples on how to extend the application of these methods using available microarray data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Switzerland 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 12 17%
Student > Bachelor 8 12%
Student > Master 7 10%
Professor 3 4%
Other 11 16%
Unknown 11 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 20%
Agricultural and Biological Sciences 14 20%
Medicine and Dentistry 6 9%
Computer Science 5 7%
Nursing and Health Professions 3 4%
Other 13 19%
Unknown 14 20%
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 03 September 2017.
All research outputs
#5,509,480
of 22,834,308 outputs
Outputs from Genes & Nutrition
#104
of 388 outputs
Outputs of similar age
#84,670
of 386,751 outputs
Outputs of similar age from Genes & Nutrition
#2
of 8 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 72% 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 386,751 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.