Title |
Paclitaxel-Fe3O4 nanoparticles inhibit growth of CD138– CD34– tumor stem-like cells in multiple myeloma-bearing mice
|
---|---|
Published in |
International Journal of Nanomedicine, April 2013
|
DOI | 10.2147/ijn.s38447 |
Pubmed ID | |
Authors |
Cuiping Yang, Jing Wang, Dengyu Chen, Junsong Chen, Fei Xiong, Hongyi Zhang, Yunxia Zhang, Ning Gu, Jun Dou |
Abstract |
There is growing evidence that CD138(-) CD34(-) cells may actually be tumor stem cells responsible for initiation and relapse of multiple myeloma. However, effective drugs targeted at CD138(-) CD34(-) tumor stem cells are yet to be developed. The purpose of this study was to investigate the inhibitory effect of paclitaxel-loaded Fe3O4 nanoparticles (PTX-NPs) on CD138(-) CD34(-) tumor stem cells in multiple myeloma-bearing mice. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 4% |
Unknown | 23 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 29% |
Student > Ph. D. Student | 4 | 17% |
Researcher | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 8% |
Unknown | 6 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 29% |
Engineering | 4 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Agricultural and Biological Sciences | 2 | 8% |
Chemistry | 2 | 8% |
Other | 2 | 8% |
Unknown | 5 | 21% |
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 24 April 2013.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from International Journal of Nanomedicine
#2,971
of 4,123 outputs
Outputs of similar age
#156,878
of 212,987 outputs
Outputs of similar age from International Journal of Nanomedicine
#42
of 60 outputs
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So far Altmetric has tracked 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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