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Specific Chemotaxis of Magnetically Labeled Mesenchymal Stem Cells: Implications for MRI of Glioma

Overview of attention for article published in Molecular Imaging and Biology, March 2012
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Title
Specific Chemotaxis of Magnetically Labeled Mesenchymal Stem Cells: Implications for MRI of Glioma
Published in
Molecular Imaging and Biology, March 2012
DOI 10.1007/s11307-012-0553-3
Pubmed ID
Authors

Margaret F. Bennewitz, Kevin S. Tang, Eleni A. Markakis, Erik M. Shapiro

Abstract

Glioblastoma multiforme (GBM) is a lethal disease marked by infiltration of cancerous cells into the surrounding normal brain. The dire outcome of GBM patients stems in part from the limitations of current neuroimaging methods. Notably, early cancer detection methodologies are lacking, without the ability to identify aggressive, metastatic tumor cells. We propose a novel approach for tumor detection using magnetic resonance imaging (MRI) based on imaging specific tumor tropism of mesenchymal stem cells (MSCs) labeled with micron-sized iron oxide particles (MPIOs).

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

Geographical breakdown

Country Count As %
Norway 1 3%
Canada 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Researcher 4 14%
Student > Bachelor 3 10%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Medicine and Dentistry 12 41%
Agricultural and Biological Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Physics and Astronomy 2 7%
Computer Science 1 3%
Other 3 10%
Unknown 6 21%
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 March 2012.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Molecular Imaging and Biology
#621
of 837 outputs
Outputs of similar age
#132,348
of 169,065 outputs
Outputs of similar age from Molecular Imaging and Biology
#6
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 837 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 18th percentile – i.e., 18% 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 169,065 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.
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