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In silico identification and expression of SLC30 family genes: An expressed sequence tag data mining strategy for the characterization of zinc transporters' tissue expression

Overview of attention for article published in BMC Genomics, May 2004
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7 Wikipedia pages

Citations

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81 Mendeley
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Title
In silico identification and expression of SLC30 family genes: An expressed sequence tag data mining strategy for the characterization of zinc transporters' tissue expression
Published in
BMC Genomics, May 2004
DOI 10.1186/1471-2164-5-32
Pubmed ID
Authors

Michel Seve, Fabrice Chimienti, Séverine Devergnas, Alain Favier

Abstract

Intracellular zinc concentration and localization are strictly regulated by two main protein components, metallothioneins and membrane transporters. In mammalian cells, two membrane transporters family are involved in intracellular zinc homeostasis: the uptake transporters called SLC39 or Zip family and the efflux transporters called SLC30 or ZnT family. ZnT proteins are members of the cation diffusion facilitator (CDF) family of metal ion transporters.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Spain 2 2%
Mexico 1 1%
Czechia 1 1%
Thailand 1 1%
United States 1 1%
Unknown 73 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Researcher 15 19%
Student > Master 14 17%
Professor 6 7%
Other 4 5%
Other 9 11%
Unknown 17 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 33%
Biochemistry, Genetics and Molecular Biology 15 19%
Neuroscience 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Immunology and Microbiology 3 4%
Other 11 14%
Unknown 17 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 August 2023.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#18,708
of 57,934 outputs
Outputs of similar age from BMC Genomics
#1
of 9 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 57,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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