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Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease

Overview of attention for article published in Frontiers in Physiology, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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189 Mendeley
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Title
Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
Published in
Frontiers in Physiology, March 2014
DOI 10.3389/fphys.2014.00091
Pubmed ID
Authors

Swagatika Sahoo, Maike K. Aurich, Jon J. Jonsson, Ines Thiele

Abstract

Membrane transporters enable efficient cellular metabolism, aid in nutrient sensing, and have been associated with various diseases, such as obesity and cancer. Genome-scale metabolic network reconstructions capture genomic, physiological, and biochemical knowledge of a target organism, along with a detailed representation of the cellular metabolite transport mechanisms. Since the first reconstruction of human metabolism, Recon 1, published in 2007, progress has been made in the field of metabolite transport. Recently, we published an updated reconstruction, Recon 2, which significantly improved the metabolic coverage and functionality. Human metabolic reconstructions have been used to investigate the role of metabolism in disease and to predict biomarkers and drug targets. Given the importance of cellular transport systems in understanding human metabolism in health and disease, we analyzed the coverage of transport systems for various metabolite classes in Recon 2. We will review the current knowledge on transporters (i.e., their preferred substrates, transport mechanisms, metabolic relevance, and disease association for each metabolite class). We will assess missing coverage and propose modifications and additions through a transport module that is functional when combined with Recon 2. This information will be valuable for further refinements. These data will also provide starting points for further experiments by highlighting areas of incomplete knowledge. This review represents the first comprehensive overview of the transporters involved in central metabolism and their transport mechanisms, thus serving as a compendium of metabolite transporters specific for human metabolic reconstructions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Colombia 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Mexico 1 <1%
Qatar 1 <1%
Other 1 <1%
Unknown 179 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 22%
Researcher 28 15%
Student > Bachelor 21 11%
Student > Master 19 10%
Other 11 6%
Other 28 15%
Unknown 40 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 26%
Biochemistry, Genetics and Molecular Biology 40 21%
Medicine and Dentistry 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Computer Science 7 4%
Other 23 12%
Unknown 47 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 February 2016.
All research outputs
#3,515,537
of 22,747,498 outputs
Outputs from Frontiers in Physiology
#1,776
of 13,552 outputs
Outputs of similar age
#33,946
of 220,818 outputs
Outputs of similar age from Frontiers in Physiology
#17
of 72 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,552 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 86% 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 220,818 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 84% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.