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Circulating long non-coding RNAs in cancer: current status and future perspectives

Overview of attention for article published in Molecular Cancer, May 2016
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Title
Circulating long non-coding RNAs in cancer: current status and future perspectives
Published in
Molecular Cancer, May 2016
DOI 10.1186/s12943-016-0524-4
Pubmed ID
Authors

Peng Qi, Xiao-yan Zhou, Xiang Du

Abstract

Long non-coding RNAs (lncRNAs) comprise a diverse class of RNA transcripts >200 nucleotides in length with limited protein-coding potential. In addition to their possible role in cancer biology, circulating lncRNAs have emerged as a new class of promising cancer biomarkers, with independent studies demonstrating the feasibility of their use as tools in the diagnosis and prognosis of different types of malignancies and for predicting and possibly monitoring treatment response. However, critical issues are represented by nonuniform sample choice, handling and processing, blood cell contamination during sample preparation and the lack of consensus regarding data normalization. In this review, we discuss the value of circulating lncRNAs in the clinical setting, particularly with respect to their possible implementation as diagnostic and prognostic markers in cancer. Although the great potential of circulating lncRNAs as cancer biomarkers would be an important development in disease management, both intrinsic and extrinsic factors that may affect their measurement have not been fully characterized. Moreover, the clinical significance of circulating lncRNA may not be proven without a global consensus regarding procedures and standardized protocols for their detection.

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

Geographical breakdown

Country Count As %
Belgium 2 1%
South Africa 1 <1%
Germany 1 <1%
Iran, Islamic Republic of 1 <1%
Denmark 1 <1%
Unknown 167 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 30 17%
Student > Bachelor 20 12%
Student > Master 20 12%
Student > Doctoral Student 8 5%
Other 23 13%
Unknown 32 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 36%
Medicine and Dentistry 29 17%
Agricultural and Biological Sciences 25 14%
Neuroscience 4 2%
Immunology and Microbiology 3 2%
Other 10 6%
Unknown 39 23%
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 17 May 2016.
All research outputs
#18,805,293
of 23,305,591 outputs
Outputs from Molecular Cancer
#1,327
of 1,757 outputs
Outputs of similar age
#245,610
of 328,178 outputs
Outputs of similar age from Molecular Cancer
#16
of 25 outputs
Altmetric has tracked 23,305,591 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 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.