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The Micronutrient Genomics Project: a community-driven knowledge base for micronutrient research

Overview of attention for article published in Genes & Nutrition, October 2010
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Title
The Micronutrient Genomics Project: a community-driven knowledge base for micronutrient research
Published in
Genes & Nutrition, October 2010
DOI 10.1007/s12263-010-0192-8
Pubmed ID
Authors

Ben van Ommen, Ahmed El-Sohemy, John Hesketh, Jim Kaput, Michael Fenech, Chris T. Evelo, Harry J. McArdle, Jildau Bouwman, Georg Lietz, John C. Mathers, Sue Fairweather-Tait, Henk van Kranen, Ruan Elliott, Suzan Wopereis, Lynnette R. Ferguson, Catherine Méplan, Giuditta Perozzi, Lindsay Allen, Damariz Rivero, The Micronutrient Genomics Project Working Group

Abstract

Micronutrients influence multiple metabolic pathways including oxidative and inflammatory processes. Optimum micronutrient supply is important for the maintenance of homeostasis in metabolism and, ultimately, for maintaining good health. With advances in systems biology and genomics technologies, it is becoming feasible to assess the activity of single and multiple micronutrients in their complete biological context. Existing research collects fragments of information, which are not stored systematically and are thus not optimally disseminated. The Micronutrient Genomics Project (MGP) was established as a community-driven project to facilitate the development of systematic capture, storage, management, analyses, and dissemination of data and knowledge generated by biological studies focused on micronutrient-genome interactions. Specifically, the MGP creates a public portal and open-source bioinformatics toolbox for all "omics" information and evaluation of micronutrient and health studies. The core of the project focuses on access to, and visualization of, genetic/genomic, transcriptomic, proteomic and metabolomic information related to micronutrients. For each micronutrient, an expert group is or will be established combining the various relevant areas (including genetics, nutrition, biochemistry, and epidemiology). Each expert group will (1) collect all available knowledge, (2) collaborate with bioinformatics teams towards constructing the pathways and biological networks, and (3) publish their findings on a regular basis. The project is coordinated in a transparent manner, regular meetings are organized and dissemination is arranged through tools, a toolbox web portal, a communications website and dedicated publications.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 4 4%
United States 2 2%
Switzerland 1 1%
New Zealand 1 1%
United Kingdom 1 1%
Qatar 1 1%
Iran, Islamic Republic of 1 1%
Unknown 86 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Ph. D. Student 16 16%
Student > Master 16 16%
Professor 8 8%
Student > Bachelor 7 7%
Other 20 21%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 39%
Medicine and Dentistry 17 18%
Biochemistry, Genetics and Molecular Biology 10 10%
Nursing and Health Professions 8 8%
Engineering 4 4%
Other 14 14%
Unknown 6 6%
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 14 April 2012.
All research outputs
#18,305,445
of 22,664,267 outputs
Outputs from Genes & Nutrition
#297
of 387 outputs
Outputs of similar age
#88,478
of 99,168 outputs
Outputs of similar age from Genes & Nutrition
#7
of 7 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 10th percentile – i.e., 10% 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 99,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.