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Mesenchymal stem cells enhance ovarian cancer cell infiltration through IL6 secretion in an amniochorionic membrane based 3D model

Overview of attention for article published in Journal of Translational Medicine, January 2013
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Mentioned by

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1 tweeter

Citations

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53 Dimensions

Readers on

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81 Mendeley
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Title
Mesenchymal stem cells enhance ovarian cancer cell infiltration through IL6 secretion in an amniochorionic membrane based 3D model
Published in
Journal of Translational Medicine, January 2013
DOI 10.1186/1479-5876-11-28
Pubmed ID
Authors

Cyril Touboul, Raphael Lis, Halema Al Farsi, Christophe M Raynaud, Mohamed Warfa, Hamda Althawadi, Eliane Mery, Massoud Mirshahi, Arash Rafii

Abstract

The early peritoneal invasion of epithelial ovarian cancer (EOC) by tumoral aggregates presents in ascites is a major concern. The role of the microenvironment seems to be important in this process but the lack of adequate models to study cellular interactions between cancer cells and stromal cells does not allow to uncover the molecular pathways involved. Our goal was to study the interactions between ovarian cancer cells (OCC) and mesenchymal stem cells (MSC) using a 3D model.

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Colombia 1 1%
Brazil 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 26%
Student > Ph. D. Student 15 19%
Student > Master 10 12%
Student > Doctoral Student 6 7%
Student > Bachelor 5 6%
Other 13 16%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Medicine and Dentistry 14 17%
Biochemistry, Genetics and Molecular Biology 12 15%
Immunology and Microbiology 6 7%
Engineering 5 6%
Other 8 10%
Unknown 10 12%

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 10 August 2013.
All research outputs
#11,068,869
of 12,450,491 outputs
Outputs from Journal of Translational Medicine
#2,388
of 2,446 outputs
Outputs of similar age
#128,173
of 151,648 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 7 outputs
Altmetric has tracked 12,450,491 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 151,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.