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Perspectives of Long Non-Coding RNAs in Cancer Diagnostics

Overview of attention for article published in Frontiers in Genetics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site
wikipedia
1 Wikipedia page

Citations

dimensions_citation
136 Dimensions

Readers on

mendeley
134 Mendeley
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1 CiteULike
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Title
Perspectives of Long Non-Coding RNAs in Cancer Diagnostics
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00032
Pubmed ID
Authors

Eduardo M. Reis, Sergio Verjovski-Almeida

Abstract

Long non-coding RNAs (lncRNAs) transcribed from intergenic and intronic regions of the human genome constitute a broad class of cellular transcripts that are under intensive investigation. While only a handful of lncRNAs have been characterized, their involvement in fundamental cellular processes that control gene expression highlights a central role in cell homeostasis. Not surprisingly, aberrant expression of regulatory lncRNAs has been increasingly documented in different types of cancer, where they can mediate both oncogenic or tumor suppressor effects. Interaction with chromatin remodeling complexes that promote silencing of specific genes or modulation of splicing factor proteins seem to be two general modes of lncRNA regulation, but it is conceivable that additional mechanisms of action are yet to be unveiled. LncRNAs show greater tissue specificity compared to protein-coding mRNAs making them attractive in the search of novel diagnostics/prognostics cancer biomarkers in body fluid samples. In fact, lncRNA prostate cancer antigen 3 can be detected in urine samples and has been shown to improve diagnosis of prostate cancer. We suggest that an unbiased screening of the presence of RNAs in easily accessible body fluids such as serum and urine might reveal novel circulating lncRNAs as potential biomarkers in many types of cancer. Annotation and functional characterization of the lncRNA complement of the cancer transcriptome will conceivably provide new venues for early diagnosis and treatment of the disease.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Italy 1 <1%
Australia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
China 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 126 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 23%
Researcher 26 19%
Student > Master 18 13%
Student > Bachelor 11 8%
Other 9 7%
Other 23 17%
Unknown 16 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 36%
Biochemistry, Genetics and Molecular Biology 39 29%
Medicine and Dentistry 21 16%
Immunology and Microbiology 3 2%
Computer Science 3 2%
Other 5 4%
Unknown 15 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 October 2016.
All research outputs
#5,847,736
of 22,663,969 outputs
Outputs from Frontiers in Genetics
#1,651
of 11,727 outputs
Outputs of similar age
#52,344
of 244,051 outputs
Outputs of similar age from Frontiers in Genetics
#43
of 255 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,727 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% 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 244,051 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 77% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.