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Novel classes of non-coding RNAs and cancer

Overview of attention for article published in Journal of Translational Medicine, May 2012
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2 X users

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258 Mendeley
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3 CiteULike
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Title
Novel classes of non-coding RNAs and cancer
Published in
Journal of Translational Medicine, May 2012
DOI 10.1186/1479-5876-10-103
Pubmed ID
Authors

Jiri Sana, Petra Faltejskova, Marek Svoboda, Ondrej Slaby

Abstract

For the many years, the central dogma of molecular biology has been that RNA functions mainly as an informational intermediate between a DNA sequence and its encoded protein. But one of the great surprises of modern biology was the discovery that protein-coding genes represent less than 2% of the total genome sequence, and subsequently the fact that at least 90% of the human genome is actively transcribed. Thus, the human transcriptome was found to be more complex than a collection of protein-coding genes and their splice variants. Although initially argued to be spurious transcriptional noise or accumulated evolutionary debris arising from the early assembly of genes and/or the insertion of mobile genetic elements, recent evidence suggests that the non-coding RNAs (ncRNAs) may play major biological roles in cellular development, physiology and pathologies. NcRNAs could be grouped into two major classes based on the transcript size; small ncRNAs and long ncRNAs. Each of these classes can be further divided, whereas novel subclasses are still being discovered and characterized. Although, in the last years, small ncRNAs called microRNAs were studied most frequently with more than ten thousand hits at PubMed database, recently, evidence has begun to accumulate describing the molecular mechanisms by which a wide range of novel RNA species function, providing insight into their functional roles in cellular biology and in human disease. In this review, we summarize newly discovered classes of ncRNAs, and highlight their functioning in cancer biology and potential usage as biomarkers or therapeutic targets.

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

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
Italy 1 <1%
India 1 <1%
Czechia 1 <1%
Egypt 1 <1%
Denmark 1 <1%
China 1 <1%
Spain 1 <1%
Other 2 <1%
Unknown 247 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 19%
Researcher 42 16%
Student > Master 42 16%
Student > Bachelor 24 9%
Student > Postgraduate 15 6%
Other 30 12%
Unknown 56 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 31%
Biochemistry, Genetics and Molecular Biology 68 26%
Medicine and Dentistry 21 8%
Computer Science 4 2%
Immunology and Microbiology 4 2%
Other 20 8%
Unknown 61 24%
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 06 February 2013.
All research outputs
#15,247,248
of 22,671,366 outputs
Outputs from Journal of Translational Medicine
#2,216
of 3,955 outputs
Outputs of similar age
#103,979
of 163,636 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 62 outputs
Altmetric has tracked 22,671,366 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 3,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 163,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.