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Genistein Inhibits Prostate Cancer Cell Growth by Targeting miR-34a and Oncogenic HOTAIR

Overview of attention for article published in PLOS ONE, August 2013
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Title
Genistein Inhibits Prostate Cancer Cell Growth by Targeting miR-34a and Oncogenic HOTAIR
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0070372
Pubmed ID
Authors

Takeshi Chiyomaru, Soichiro Yamamura, Shinichiro Fukuhara, Hirofumi Yoshino, Takashi Kinoshita, Shahana Majid, Sharanjot Saini, Inik Chang, Yuichiro Tanaka, Hideki Enokida, Naohiko Seki, Masayuki Nakagawa, Rajvir Dahiya

Abstract

Genistein is a soy isoflavone that has antitumor activity both in vitro and in vivo. It has been shown that genistein inhibits many type of cancers including prostate cancer (PCa) by regulating several cell signaling pathways and microRNAs (miRNAs). Recent studies suggest that the long non-coding RNAs (lncRNAs) are also involved in many cellular processes. At present there are no reports about the relationship between gensitein, miRNAs and lncRNAs. In this study, we focused on miRNAs, lncRNA that are regulated by genistein and investigated their functional role in PCa.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Denmark 2 2%
Spain 1 <1%
France 1 <1%
Unknown 99 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 16 15%
Student > Master 15 14%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 20 19%
Unknown 14 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 25%
Agricultural and Biological Sciences 23 22%
Medicine and Dentistry 17 16%
Chemistry 4 4%
Computer Science 3 3%
Other 13 12%
Unknown 19 18%
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 15 September 2017.
All research outputs
#17,693,152
of 22,716,996 outputs
Outputs from PLOS ONE
#146,595
of 193,928 outputs
Outputs of similar age
#142,571
of 198,394 outputs
Outputs of similar age from PLOS ONE
#3,482
of 4,867 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,928 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 20th percentile – i.e., 20% 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 198,394 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 4,867 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.