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Treatment of autoimmune diabetes in NOD mice by Toll-like receptor 2 tolerance in conjunction with dipeptidyl peptidase 4 inhibition

Overview of attention for article published in Diabetologia, September 2012
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Title
Treatment of autoimmune diabetes in NOD mice by Toll-like receptor 2 tolerance in conjunction with dipeptidyl peptidase 4 inhibition
Published in
Diabetologia, September 2012
DOI 10.1007/s00125-012-2723-x
Pubmed ID
Authors

D.-H. Kim, J.-C. Lee, M.-K. Lee, K.-W. Kim, M.-S. Lee

Abstract

We have shown that chronic administration of the Toll-like receptor 2 (TLR2) agonist Pam3CSK(4) prevents diabetes in NOD mice by inducing TLR2 tolerance of dendritic cells (DCs). We have also reported that a novel dipeptidyl peptidase 4 (DPP4) inhibitor, DA-1229, could increase beta cell mass. Here we investigated whether a combination of DPP4 inhibition, with beneficial effects on beta cell mass, and TLR2 tolerisation, protecting beta cells from autoimmune destruction, could treat a model of established type 1 diabetes.

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

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 6 21%
Professor 2 7%
Other 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 11 38%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 2 7%
Immunology and Microbiology 2 7%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 9 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 09 February 2013.
All research outputs
#15,253,344
of 22,681,577 outputs
Outputs from Diabetologia
#4,440
of 5,025 outputs
Outputs of similar age
#107,852
of 171,825 outputs
Outputs of similar age from Diabetologia
#42
of 64 outputs
Altmetric has tracked 22,681,577 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 5,025 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 8th percentile – i.e., 8% 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 171,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.