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Advances in the delivery of RNA therapeutics: from concept to clinical reality

Overview of attention for article published in Genome Medicine, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
blogs
3 blogs
twitter
25 tweeters
patent
16 patents
wikipedia
5 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
430 Dimensions

Readers on

mendeley
884 Mendeley
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Title
Advances in the delivery of RNA therapeutics: from concept to clinical reality
Published in
Genome Medicine, June 2017
DOI 10.1186/s13073-017-0450-0
Pubmed ID
Authors

James C. Kaczmarek, Piotr S. Kowalski, Daniel G. Anderson

Abstract

The rapid expansion of the available genomic data continues to greatly impact biomedical science and medicine. Fulfilling the clinical potential of genetic discoveries requires the development of therapeutics that can specifically modulate the expression of disease-relevant genes. RNA-based drugs, including short interfering RNAs and antisense oligonucleotides, are particularly promising examples of this newer class of biologics. For over two decades, researchers have been trying to overcome major challenges for utilizing such RNAs in a therapeutic context, including intracellular delivery, stability, and immune response activation. This research is finally beginning to bear fruit as the first RNA drugs gain FDA approval and more advance to the final phases of clinical trials. Furthermore, the recent advent of CRISPR, an RNA-guided gene-editing technology, as well as new strides in the delivery of messenger RNA transcribed in vitro, have triggered a major expansion of the RNA-therapeutics field. In this review, we discuss the challenges for clinical translation of RNA-based therapeutics, with an emphasis on recent advances in delivery technologies, and present an overview of the applications of RNA-based drugs for modulation of gene/protein expression and genome editing that are currently being investigated both in the laboratory as well as in the clinic.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 884 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 884 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 163 18%
Researcher 144 16%
Student > Master 116 13%
Student > Bachelor 87 10%
Other 48 5%
Other 133 15%
Unknown 193 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 202 23%
Pharmacology, Toxicology and Pharmaceutical Science 91 10%
Agricultural and Biological Sciences 90 10%
Chemistry 74 8%
Medicine and Dentistry 52 6%
Other 147 17%
Unknown 228 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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 25 January 2023.
All research outputs
#490,549
of 23,041,514 outputs
Outputs from Genome Medicine
#93
of 1,448 outputs
Outputs of similar age
#11,651
of 315,786 outputs
Outputs of similar age from Genome Medicine
#1
of 31 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done particularly well, scoring higher than 93% 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 315,786 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 96% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.