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MicroRNAs differentially expressed in Behçet disease are involved in interleukin-6 production

Overview of attention for article published in Journal of Inflammation, July 2016
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Title
MicroRNAs differentially expressed in Behçet disease are involved in interleukin-6 production
Published in
Journal of Inflammation, July 2016
DOI 10.1186/s12950-016-0130-7
Pubmed ID
Authors

Min-Yeong Woo, Su Jin Yun, Okki Cho, Kyongmin Kim, Eun-So Lee, Sun Park

Abstract

Behcet's disease (BD) is characterized by systemic recurrent inflammation with increased production of tumor necrosis factor (TNF)-α and interleukin (IL)-6 by peripheral blood mononuclear cells (PBMCs). To gain insight into the underlying mechanisms of this disease, the expression levels of distinct microRNAs in PBMCs of BD patients were determined and their association with TNF-α and IL-6 production was evaluated. The expression levels of microRNAs, miR-638 and miR-4488, were reduced in patients with stable BD in comparison with healthy controls. In addition, the expression of miR-3591-3p was increased in patients with active BD when compared to patients with stable BD. Transfection of miR-638 and miR-4488 inhibitors, together with miR-3591-3p mimics, increased IL-6 mRNA levels in THP-1 cells in response to LPS stimulation. We observed differential expression of microRNAs associated with increased production of IL-6 in BD patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Researcher 3 13%
Other 2 9%
Student > Bachelor 1 4%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Medicine and Dentistry 4 17%
Mathematics 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 July 2016.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from Journal of Inflammation
#193
of 425 outputs
Outputs of similar age
#237,841
of 377,256 outputs
Outputs of similar age from Journal of Inflammation
#2
of 11 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 51% 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 377,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.