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Optimizing patient derived mesenchymal stem cells as virus carriers for a Phase I clinical trial in ovarian cancer

Overview of attention for article published in Journal of Translational Medicine, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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5 X users
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1 patent
facebook
2 Facebook pages

Citations

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111 Dimensions

Readers on

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124 Mendeley
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Title
Optimizing patient derived mesenchymal stem cells as virus carriers for a Phase I clinical trial in ovarian cancer
Published in
Journal of Translational Medicine, January 2013
DOI 10.1186/1479-5876-11-20
Pubmed ID
Authors

Emily K Mader, Greg Butler, Sean C Dowdy, Andrea Mariani, Keith L Knutson, Mark J Federspiel, Stephen J Russell, Evanthia Galanis, Allan B Dietz, Kah-Whye Peng

Abstract

Mesenchymal stem cells (MSC) can serve as carriers to deliver oncolytic measles virus (MV) to ovarian tumors. In preparation for a clinical trial to use MSC as MV carriers, we obtained cells from ovarian cancer patients and evaluated feasibility and safety of this approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 <1%
Brazil 1 <1%
Unknown 120 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Ph. D. Student 19 15%
Student > Master 16 13%
Student > Bachelor 14 11%
Student > Doctoral Student 9 7%
Other 19 15%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 26%
Biochemistry, Genetics and Molecular Biology 29 23%
Medicine and Dentistry 19 15%
Immunology and Microbiology 7 6%
Engineering 5 4%
Other 13 10%
Unknown 19 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 June 2021.
All research outputs
#4,491,164
of 22,693,205 outputs
Outputs from Journal of Translational Medicine
#715
of 3,965 outputs
Outputs of similar age
#49,176
of 280,564 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 85 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 81% of its peers.
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 280,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.