↓ Skip to main content

Competing endogenous RNA networks: tying the essential knots for cancer biology and therapeutics

Overview of attention for article published in Journal of Hematology & Oncology, March 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Readers on

mendeley
82 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Competing endogenous RNA networks: tying the essential knots for cancer biology and therapeutics
Published in
Journal of Hematology & Oncology, March 2015
DOI 10.1186/s13045-015-0129-1
Pubmed ID
Authors

Avencia Sanchez-Mejias, Yvonne Tay

Abstract

A recently discovered dimension of post-transcriptional gene regulation involves co-regulatory crosstalk between RNA transcripts, which compete for common pools of microRNA (miRNA) molecules. These competing endogenous RNAs (ceRNAs), or natural miRNA sponges, have an active role in regulating miRNA availability within the cell and form intertwined regulatory networks. Recent reports have implicated diverse RNA species including protein-coding messenger RNAs and non-coding RNAs as ceRNAs in human development and diseases including human cancer. In this review, we discuss the most recent discoveries that implicate natural miRNA decoys in human cancer biology, as well as exciting advances in the study of ceRNA networks and dynamics. The structure and topology of intricate genome-scale ceRNA networks can be predicted computationally, and their dynamic response to fluctuations in ceRNA and miRNA levels can be studied via mathematical modeling. Additionally, the development of new methods to quantitatively determine absolute expression levels of miRNA and ceRNA molecules have expanded the capacity to accurately study the efficiency of ceRNA crosstalk in diverse biological models. These major milestones are of critical importance to identify key components of ceRNA regulatory networks that could aid the development of new approaches to cancer diagnostics and oligonucleotide-based therapeutics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 2%
Japan 1 1%
India 1 1%
Chile 1 1%
Unknown 77 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Researcher 14 17%
Student > Master 11 13%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 17 21%
Unknown 15 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 28%
Agricultural and Biological Sciences 22 27%
Medicine and Dentistry 6 7%
Computer Science 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 4 5%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 April 2015.
All research outputs
#7,212,132
of 22,797,621 outputs
Outputs from Journal of Hematology & Oncology
#481
of 1,191 outputs
Outputs of similar age
#86,095
of 263,904 outputs
Outputs of similar age from Journal of Hematology & Oncology
#5
of 25 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 58% 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 263,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
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 has gotten more attention than average, scoring higher than 72% of its contemporaries.