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Paclitaxel-Fe3O4 nanoparticles inhibit growth of CD138–  CD34– tumor stem-like cells in multiple myeloma-bearing mice

Overview of attention for article published in International Journal of Nanomedicine, April 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
20 Mendeley
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

Jun Dou, Cuiping Yang, Jing Wang, Dengyu Chen, Junsong Chen, Fei Xiong, Hongyi Zhang, Yunxia Zhang, Ning Gu

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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Researcher 2 10%
Student > Postgraduate 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Engineering 3 15%
Agricultural and Biological Sciences 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Chemistry 2 10%
Other 2 10%
Unknown 3 15%

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
#3,351,305
of 5,037,615 outputs
Outputs from International Journal of Nanomedicine
#908
of 1,311 outputs
Outputs of similar age
#58,114
of 92,602 outputs
Outputs of similar age from International Journal of Nanomedicine
#20
of 44 outputs
Altmetric has tracked 5,037,615 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,311 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 25th percentile – i.e., 25% 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 92,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.