↓ Skip to main content

Targeting MicroRNA Function in Acute Pancreatitis

Overview of attention for article published in Frontiers in Physiology, September 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Targeting MicroRNA Function in Acute Pancreatitis
Published in
Frontiers in Physiology, September 2017
DOI 10.3389/fphys.2017.00726
Pubmed ID
Authors

Hong Xiang, Xufeng Tao, Shilin Xia, Jialin Qu, Huiyi Song, Jianjun Liu, Dong Shang

Abstract

Acute pancreatitis (AP) is a common gastrointestinal disorder that featured by acute inflammatory responses leading to systemic inflammatory response syndrome (SIRS) or multiple organ failure. A worldwide increase in annual incidence has been observed during the past decade with high acute hospitalization and mortality. Lack of any specific treatment for AP, even to this day, is a reminder that there is much to be learned about the exact pathogenesis of AP. Fortunately, the discovery of microRNA (miRNA) has started an entirely new thought process regarding the molecular mechanism associated with the disease processes. Given the extensive effort made on miRNA research, certain types of miRNA have been identified across a variety of biological processes, including cell differentiation, apoptosis, metabolism, and inflammatory responses. Mutations in miRNA sequences or deregulation of miRNA expression may contribute to the alteration of a pivotal physiological function leading to AP. Designing miRNA-related tools for AP diagnosis and treatment presents a novel and potential research frontier. In this mini-review, we summarize the current knowledge of various miRNAs closely interacting with AP and the possible development of targeted miRNA therapies in this disease, which may benefit the development of potential disease biomarkers and novel treatment targets for future medical implications.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 22%
Researcher 4 22%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Lecturer > Senior Lecturer 1 6%
Other 4 22%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Agricultural and Biological Sciences 1 6%
Other 3 17%
Unknown 5 28%
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 22 September 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from Frontiers in Physiology
#9,474
of 13,760 outputs
Outputs of similar age
#278,224
of 318,503 outputs
Outputs of similar age from Frontiers in Physiology
#216
of 300 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% 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 318,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.