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Dieckol, isolated from the edible brown algae Ecklonia cava, induces apoptosis of ovarian cancer cells and inhibits tumor xenograft growth

Overview of attention for article published in Journal of Cancer Research and Clinical Oncology, September 2014
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60 Mendeley
Title
Dieckol, isolated from the edible brown algae Ecklonia cava, induces apoptosis of ovarian cancer cells and inhibits tumor xenograft growth
Published in
Journal of Cancer Research and Clinical Oncology, September 2014
DOI 10.1007/s00432-014-1819-8
Pubmed ID
Authors

Ji-Hye Ahn, Yeong-In Yang, Kyung-Tae Lee, Jung-Hye Choi

Abstract

Ecklonia cava is an abundant brown alga and has been reported to possess various bioactive compounds having anti-inflammatory effect. However, the anticancer effects of dieckol, a major active compound in E. cava, are poorly understood. In the present study, we investigated the anti-tumor activity of dieckol and its molecular mechanism in ovarian cancer cells and in a xenograft mouse model .

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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 13%
Student > Ph. D. Student 7 12%
Researcher 6 10%
Student > Master 6 10%
Other 5 8%
Other 7 12%
Unknown 21 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 18%
Agricultural and Biological Sciences 7 12%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Nursing and Health Professions 2 3%
Other 11 18%
Unknown 21 35%
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 19 January 2015.
All research outputs
#18,550,468
of 23,815,455 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#1,729
of 2,632 outputs
Outputs of similar age
#168,301
of 247,216 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#17
of 35 outputs
Altmetric has tracked 23,815,455 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 2,632 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 31st percentile – i.e., 31% 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 247,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.