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Noncoding RNAs as potential biomarkers to predict the outcome in pancreatic cancer

Overview of attention for article published in Drug Design, Development and Therapy, February 2015
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Mentioned by

twitter
2 tweeters

Citations

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21 Dimensions

Readers on

mendeley
35 Mendeley
Title
Noncoding RNAs as potential biomarkers to predict the outcome in pancreatic cancer
Published in
Drug Design, Development and Therapy, February 2015
DOI 10.2147/dddt.s77597
Pubmed ID
Authors

Kaizhou Jin, Guopei Luo, Zhiwen Xiao, Zuqiang Liu, Chen Liu, Shunrong Ji, Jin Xu, Liang Liu, Jiang Long, Quanxing Ni, Xianjun Yu

Abstract

Pancreatic ductal adenocarcinoma (PDAC), a common digestive system cancer, is highly malignant and has a poor disease outcome. Currently, all available examination and detection methods cannot accurately predict the clinical outcome. Therefore, it is extremely important to identify novel molecular biomarkers for personalized medication and to significantly improve the overall outcome. The "noncoding RNAs" (ncRNAs) are a group of RNAs that do not code for proteins, and they are categorized as structural RNAs and regulatory RNAs. It has been shown that microRNAs and long ncRNAs function as regulatory RNAs to affect the progression of various diseases. Many studies have confirmed a role for ncRNAs in the progression of PDAC during the last few years. Because of the significant role of ncRNAs in PDAC, ncRNA profiling may be used to predict PDAC outcome with high accuracy. This review comprehensively analyzes the value of ncRNAs as potential biomarkers to predict the outcome in PDAC and the possible mechanisms thereof.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 14 40%
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 5 14%
Computer Science 1 3%
Decision Sciences 1 3%
Other 2 6%
Unknown 6 17%

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 11 March 2015.
All research outputs
#9,880,874
of 12,378,406 outputs
Outputs from Drug Design, Development and Therapy
#755
of 1,302 outputs
Outputs of similar age
#155,970
of 224,921 outputs
Outputs of similar age from Drug Design, Development and Therapy
#14
of 22 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,302 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 28th percentile – i.e., 28% 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 224,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.