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Identification of particular groups of microRNAs that positively or negatively impact on beta cell function in obese models of type 2 diabetes

Overview of attention for article published in Diabetologia, July 2013
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Citations

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Title
Identification of particular groups of microRNAs that positively or negatively impact on beta cell function in obese models of type 2 diabetes
Published in
Diabetologia, July 2013
DOI 10.1007/s00125-013-2993-y
Pubmed ID
Authors

Valeria Nesca, Claudiane Guay, Cécile Jacovetti, Véronique Menoud, Marie-Line Peyot, D. Ross Laybutt, Marc Prentki, Romano Regazzi

Abstract

MicroRNAs are key regulators of gene expression involved in health and disease. The goal of our study was to investigate the global changes in beta cell microRNA expression occurring in two models of obesity-associated type 2 diabetes and to assess their potential contribution to the development of the disease.

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

Geographical breakdown

Country Count As %
Germany 1 <1%
Chile 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 144 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 17%
Student > Ph. D. Student 24 16%
Student > Master 19 13%
Student > Bachelor 10 7%
Unspecified 7 5%
Other 31 21%
Unknown 32 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 30%
Biochemistry, Genetics and Molecular Biology 24 16%
Medicine and Dentistry 20 13%
Unspecified 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 15 10%
Unknown 34 23%
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 12 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Diabetologia
#4,669
of 5,029 outputs
Outputs of similar age
#145,804
of 194,295 outputs
Outputs of similar age from Diabetologia
#37
of 46 outputs
Altmetric has tracked 22,714,025 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 5,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 3rd percentile – i.e., 3% 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 194,295 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 46 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.