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Long Non-Coding RNAs As Potential Novel Prognostic Biomarkers in Colorectal Cancer

Overview of attention for article published in Frontiers in Genetics, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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16 X users
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2 Google+ users

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65 Mendeley
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Title
Long Non-Coding RNAs As Potential Novel Prognostic Biomarkers in Colorectal Cancer
Published in
Frontiers in Genetics, April 2016
DOI 10.3389/fgene.2016.00054
Pubmed ID
Authors

Ester Saus, Anna Brunet-Vega, Susana Iraola-Guzmán, Cinta Pegueroles, Toni Gabaldón, Carles Pericay

Abstract

Colorectal cancer (CRC) is the fourth most common cause of death worldwide. Surgery is usually the first line of treatment for patients with CRC but many tumors with similar histopathological features show significantly different clinical outcomes. The discovery of robust prognostic biomarkers in patients with CRC is imperative to achieve more effective treatment strategies and improve patient's care. Recent progress in next generation sequencing methods and transcriptome analysis has revealed that a much larger part of the genome is transcribed into RNA than previously assumed. Collectively referred to as non-coding RNAs (ncRNAs), some of these RNA molecules such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) have been shown to be altered and to play critical roles in tumor biology. This discovery leads to exciting possibilities for personalized cancer diagnosis, and therapy. Many lncRNAs are tissue and cancer-type specific and have already revealed to be useful as prognostic markers. In this review, we focus on recent findings concerning aberrant expression of lncRNAs in CRC tumors and emphasize their prognostic potential in CRC. Further studies focused on the mechanisms of action of lncRNAs will contribute to the development of novel biomarkers for diagnosis and disease progression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Researcher 10 15%
Student > Ph. D. Student 9 14%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 13 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 32%
Agricultural and Biological Sciences 12 18%
Medicine and Dentistry 11 17%
Immunology and Microbiology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 8%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 January 2017.
All research outputs
#2,654,268
of 22,860,626 outputs
Outputs from Frontiers in Genetics
#688
of 11,885 outputs
Outputs of similar age
#44,556
of 300,876 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 66 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,885 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 300,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.