↓ Skip to main content

MicroRNAs and the cancer phenotype: profiling, signatures and clinical implications

Overview of attention for article published in Genome Medicine, December 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
1 CiteULike
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
MicroRNAs and the cancer phenotype: profiling, signatures and clinical implications
Published in
Genome Medicine, December 2013
DOI 10.1186/gm516
Pubmed ID
Abstract

MicroRNAs (miRNAs) have emerged as key genetic regulators of a wide variety of biological processes, including growth, proliferation, and survival. Recent advances have led to the recognition that miRNAs can act as potent oncogenes and tumor suppressors, playing crucial roles in the initiation, maintenance, and progression of the oncogenic state in a variety of cancers. Determining how miRNA expression and function is altered in cancer is an important goal, and a necessary prerequisite to the development and adoption of miRNA-based therapeutics in the clinic. Highly promising clinical applications of miRNAs are the use of miRNA signatures as biomarkers for cancer (for example, for early detection or diagnosis), and therapeutic supplementation or inhibition of specific miRNAs to alter the cancer phenotype. In this review, we discuss the main methods used for miRNA profiling, and examine key miRNAs that are commonly altered in a variety of tumors. Current studies underscore the functional versatility and potency of miRNAs in various aspects of the cancer phenotype, pointing to their potential clinical applications. Consequently, we discuss the application of miRNAs as biomarkers, clinical agents, and therapeutic targets, highlighting both the enormous potential and major challenges in this field.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 19%
Student > Ph. D. Student 20 18%
Student > Bachelor 14 13%
Student > Master 14 13%
Student > Doctoral Student 13 12%
Other 15 13%
Unknown 15 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 38%
Medicine and Dentistry 20 18%
Agricultural and Biological Sciences 18 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Chemistry 3 3%
Other 6 5%
Unknown 20 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 March 2014.
All research outputs
#1,026,420
of 12,378,406 outputs
Outputs from Genome Medicine
#311
of 902 outputs
Outputs of similar age
#20,727
of 222,393 outputs
Outputs of similar age from Genome Medicine
#6
of 28 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has gotten more attention than average, scoring higher than 65% 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 222,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.