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MicroRNA 144 Impairs Insulin Signaling by Inhibiting the Expression of Insulin Receptor Substrate 1 in Type 2 Diabetes Mellitus

Overview of attention for article published in PLOS ONE, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
4 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
367 Dimensions

Readers on

mendeley
289 Mendeley
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Title
MicroRNA 144 Impairs Insulin Signaling by Inhibiting the Expression of Insulin Receptor Substrate 1 in Type 2 Diabetes Mellitus
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0022839
Pubmed ID
Authors

Dwi Setyowati Karolina, Arunmozhiarasi Armugam, Subramaniam Tavintharan, Michael T. K. Wong, Su Chi Lim, Chee Fang Sum, Kandiah Jeyaseelan

Abstract

Dysregulation of microRNA (miRNA) expression in various tissues and body fluids has been demonstrated to be associated with several diseases, including Type 2 Diabetes mellitus (T2D). Here, we compare miRNA expression profiles in different tissues (pancreas, liver, adipose and skeletal muscle) as well as in blood samples from T2D rat model and highlight the potential of circulating miRNAs as biomarkers of T2D. In parallel, we have examined the expression profiles of miRNAs in blood samples from Impaired Fasting Glucose (IFG) and T2D male patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Nepal 1 <1%
India 1 <1%
Singapore 1 <1%
Hungary 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 276 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 22%
Researcher 44 15%
Student > Master 36 12%
Student > Bachelor 28 10%
Professor > Associate Professor 14 5%
Other 45 16%
Unknown 57 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 29%
Biochemistry, Genetics and Molecular Biology 61 21%
Medicine and Dentistry 38 13%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Neuroscience 6 2%
Other 22 8%
Unknown 69 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 September 2019.
All research outputs
#4,697,128
of 22,792,160 outputs
Outputs from PLOS ONE
#64,151
of 194,548 outputs
Outputs of similar age
#25,248
of 119,806 outputs
Outputs of similar age from PLOS ONE
#626
of 2,331 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 66% 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 119,806 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 74% of its contemporaries.
We're also able to compare this research output to 2,331 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.