↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
5 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
96 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 96 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 92 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 17 18%
Student > Master 13 14%
Other 7 7%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 33%
Medicine and Dentistry 16 17%
Biochemistry, Genetics and Molecular Biology 16 17%
Engineering 5 5%
Immunology and Microbiology 5 5%
Other 8 8%
Unknown 14 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 March 2013.
All research outputs
#3,487,651
of 12,450,491 outputs
Outputs from Journal of Translational Medicine
#574
of 2,446 outputs
Outputs of similar age
#71,699
of 254,115 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 198 outputs
Altmetric has tracked 12,450,491 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,446 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 75% 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 254,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.