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Advance in microRNA as a potential biomarker for early detection of pancreatic cancer

Overview of attention for article published in Biomarker Research, October 2016
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Title
Advance in microRNA as a potential biomarker for early detection of pancreatic cancer
Published in
Biomarker Research, October 2016
DOI 10.1186/s40364-016-0074-3
Pubmed ID
Authors

Jing Huang, Jianzhou Liu, Kevin Chen-Xiao, Xuemei Zhang, W. N. Paul Lee, Vay Liang W. Go, Gary Guishan Xiao

Abstract

Pancreatic cancer is characterized as a disease with low survival and high mortality because of no effective diagnostic and therapeutic strategies available in clinic. Conventional clinical diagnostic methods including serum markers and radiological imaging (CT, MRI, EUS, etc.) often fail to detect precancerous or early stage lesions. Development of effective biomarkers is unmet for reduction of mortality of pancreatic cancer. MicroRNAs (miRNAs) are a group of small non-protein-coding RNAs playing roles in regulation of cell physiology including tumorigenesis, apoptotic escape, proliferation, invasion, epithelial-mesenchymal transition (EMT), metastasis and chemoresistance. Various altered signaling pathways involving in molecular pathogenesis of pancreatic cancer are mediated by miRNAs as a role of either oncogenes or tumor suppressors. Among biomarkers developed including protein, metabolites, DNA, RNA, epigenetic mutation, miRNAs are superior because of its unique chemical property. Recent study suggests that miRNAs may be promising biomarkers used for early detection of pancreatic cancer. This review will update the progression made in early detection of pancreatic cancer.

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The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 9 16%
Student > Bachelor 8 15%
Student > Master 8 15%
Other 3 5%
Other 7 13%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Biochemistry, Genetics and Molecular Biology 10 18%
Agricultural and Biological Sciences 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 12 22%
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 24 October 2016.
All research outputs
#15,390,684
of 22,896,955 outputs
Outputs from Biomarker Research
#160
of 315 outputs
Outputs of similar age
#198,374
of 315,610 outputs
Outputs of similar age from Biomarker Research
#1
of 1 outputs
Altmetric has tracked 22,896,955 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 315 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 36th percentile – i.e., 36% 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 315,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them