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Zebrafish in the sea of mineral (iron, zinc, and copper) metabolism

Overview of attention for article published in Frontiers in Pharmacology, March 2014
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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 (83rd percentile)

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1 X user
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1 peer review site
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1 Wikipedia page

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126 Mendeley
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Title
Zebrafish in the sea of mineral (iron, zinc, and copper) metabolism
Published in
Frontiers in Pharmacology, March 2014
DOI 10.3389/fphar.2014.00033
Pubmed ID
Authors

Lu Zhao, Zhidan Xia, Fudi Wang

Abstract

Iron, copper, zinc, and eight other minerals are classified as essential trace elements because they present in minute in vivo quantities and are essential for life. Because either excess or insufficient levels of trace elements can be detrimental to life (causing human diseases such as iron-deficiency anemia, hemochromatosis, Menkes syndrome and Wilson's disease), the endogenous levels of trace minerals must be tightly regulated. Many studies have demonstrated the existence of systems that maintain trace element homeostasis, and these systems are highly conserved in multiple species ranging from yeast to mice. As a model for studying trace mineral metabolism, the zebrafish is indispensable to researchers. Several large-scale mutagenesis screens have been performed in zebrafish, and these screens led to the identification of a series of metal transporters and the generation of several mutagenesis lines, providing an in-depth functional analysis at the system level. Moreover, because of their developmental advantages, zebrafish have also been used in mineral metabolism-related chemical screens and toxicology studies. Here, we systematically review the major findings of trace element homeostasis studies using the zebrafish model, with a focus on iron, zinc, copper, selenium, manganese, and iodine. We also provide a homology analysis of trace mineral transporters in fish, mice and humans. Finally, we discuss the evidence that zebrafish is an ideal experimental tool for uncovering novel mechanisms of trace mineral metabolism and for improving approaches to treat mineral imbalance-related diseases.

X Demographics

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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Brazil 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Bachelor 23 18%
Student > Master 14 11%
Researcher 12 10%
Student > Postgraduate 6 5%
Other 23 18%
Unknown 24 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 26%
Biochemistry, Genetics and Molecular Biology 20 16%
Medicine and Dentistry 11 9%
Environmental Science 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Other 22 17%
Unknown 24 19%
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 12 October 2017.
All research outputs
#6,269,627
of 22,747,498 outputs
Outputs from Frontiers in Pharmacology
#2,514
of 15,994 outputs
Outputs of similar age
#59,863
of 221,372 outputs
Outputs of similar age from Frontiers in Pharmacology
#8
of 48 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 15,994 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 84% 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 221,372 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.