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Identification of residues/sequences in the human riboflavin transporter-2 that is important for function and cell biology

Overview of attention for article published in Nutrition & Metabolism, March 2015
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Title
Identification of residues/sequences in the human riboflavin transporter-2 that is important for function and cell biology
Published in
Nutrition & Metabolism, March 2015
DOI 10.1186/s12986-015-0008-3
Pubmed ID
Authors

Veedamali S Subramanian, Rubina Kapadia, Abhisek Ghosal, Hamid M Said

Abstract

Riboflavin (RF) is essential for normal cellular metabolic activities. Human cells obtain RF from their surroundings via a carrier-mediated process that involves RF transporters -1, -2 & -3 (hRFVT -1, -2 & -3; products of SLC52A1, -A2 and -A3 genes, respectively). Little is known about the structural features of these transporters that are important for their function/cell biology. Our aim in this study was to address these issues for the hRFVT-2, a transporter linked to the neurodegenerative disorder Brown-Vialetto-Van Laere Syndrome (BVVLS).

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Student > Postgraduate 2 13%
Professor 1 6%
Other 1 6%
Other 2 13%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 19%
Medicine and Dentistry 3 19%
Agricultural and Biological Sciences 2 13%
Sports and Recreations 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 5 31%
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 24 March 2015.
All research outputs
#15,327,280
of 22,796,179 outputs
Outputs from Nutrition & Metabolism
#671
of 947 outputs
Outputs of similar age
#155,937
of 261,659 outputs
Outputs of similar age from Nutrition & Metabolism
#5
of 9 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one is in the 21st percentile – i.e., 21% 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 261,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% 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 4 of them.