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Drug Repositioning for Effective Prostate Cancer Treatment

Overview of attention for article published in Frontiers in Physiology, May 2018
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 news outlet
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5 X users

Citations

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78 Dimensions

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150 Mendeley
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Title
Drug Repositioning for Effective Prostate Cancer Treatment
Published in
Frontiers in Physiology, May 2018
DOI 10.3389/fphys.2018.00500
Pubmed ID
Authors

Beste Turanli, Morten Grøtli, Jan Boren, Jens Nielsen, Mathias Uhlen, Kazim Y. Arga, Adil Mardinoglu

Abstract

Drug repositioning has gained attention from both academia and pharmaceutical companies as an auxiliary process to conventional drug discovery. Chemotherapeutic agents have notorious adverse effects that drastically reduce the life quality of cancer patients so drug repositioning is a promising strategy to identify non-cancer drugs which have anti-cancer activity as well as tolerable adverse effects for human health. There are various strategies for discovery and validation of repurposed drugs. In this review, 25 repurposed drug candidates are presented as result of different strategies, 15 of which are already under clinical investigation for treatment of prostate cancer (PCa). To date, zoledronic acid is the only repurposed, clinically used, and approved non-cancer drug for PCa. Anti-cancer activities of existing drugs presented in this review cover diverse and also known mechanisms such as inhibition of mTOR and VEGFR2 signaling, inhibition of PI3K/Akt signaling, COX and selective COX-2 inhibition, NF-κB inhibition, Wnt/β-Catenin pathway inhibition, DNMT1 inhibition, and GSK-3β inhibition. In addition to monotherapy option, combination therapy with current anti-cancer drugs may also increase drug efficacy and reduce adverse effects. Thus, drug repositioning may become a key approach for drug discovery in terms of time- and cost-efficiency comparing to conventional drug discovery and development process.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Bachelor 21 14%
Researcher 20 13%
Student > Master 19 13%
Student > Doctoral Student 7 5%
Other 23 15%
Unknown 36 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 28%
Medicine and Dentistry 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 13 9%
Agricultural and Biological Sciences 11 7%
Chemistry 8 5%
Other 15 10%
Unknown 48 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 March 2020.
All research outputs
#2,638,417
of 23,045,021 outputs
Outputs from Frontiers in Physiology
#1,393
of 13,790 outputs
Outputs of similar age
#56,646
of 326,942 outputs
Outputs of similar age from Frontiers in Physiology
#63
of 480 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,790 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 89% 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 326,942 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 82% of its contemporaries.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.