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Differentiation of breast cancer stem cells by knockdown of CD44: promising differentiation therapy

Overview of attention for article published in Journal of Translational Medicine, December 2011
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Title
Differentiation of breast cancer stem cells by knockdown of CD44: promising differentiation therapy
Published in
Journal of Translational Medicine, December 2011
DOI 10.1186/1479-5876-9-209
Pubmed ID
Authors

Phuc V Pham, Nhan LC Phan, Nhung T Nguyen, Nhung H Truong, Thuy T Duong, Dong V Le, Kiet D Truong, Ngoc K Phan

Abstract

Breast cancer stem cells (BCSCs) are the source of breast tumors. Compared with other cancer cells, cancer stem cells show high resistance to both chemotherapy and radiotherapy. Targeting of BCSCs is thus a potentially promising and effective strategy for breast cancer treatment. Differentiation therapy represents one type of cancer stem-cell-targeting therapy, aimed at attacking the stemness of cancer stem cells, thus reducing their chemo- and radioresistance. In a previous study, we showed that down-regulation of CD44 sensitized BCSCs to the anti-tumor agent doxorubicin. This study aimed to determine if CD44 knockdown caused BCSCs to differentiate into breast cancer non-stem cells (non-BCSCs).

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

Geographical breakdown

Country Count As %
Portugal 1 <1%
Italy 1 <1%
India 1 <1%
United Kingdom 1 <1%
China 1 <1%
Japan 1 <1%
Unknown 139 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 26 18%
Student > Bachelor 18 12%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Other 15 10%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 28%
Biochemistry, Genetics and Molecular Biology 38 26%
Medicine and Dentistry 23 16%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Engineering 4 3%
Other 9 6%
Unknown 25 17%
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 07 February 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from Journal of Translational Medicine
#2,923
of 3,954 outputs
Outputs of similar age
#195,750
of 240,811 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 56 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 16th percentile – i.e., 16% 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 240,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.