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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2014
|
| DOI | 10.1186/1479-5876-12-59 |
| Pubmed ID | |
| Authors |
Raphael Lis, Cyril Touboul, Najeeb M Halabi, Abishek Sainath Madduri, Denis Querleu, Jason Mezey, Joel A Malek, Karsten Suhre, Arash Rafii |
| Abstract |
The cross talk between the stroma and cancer cells plays a major role in phenotypic modulation. During peritoneal carcinomatosis ovarian cancer cells interact with mesenchymal stem cells (MSC) resulting in increased metastatic ability. Understanding the transcriptomic changes underlying the phenotypic modulation will allow identification of key genes to target. However in the context of personalized medicine we must consider inter and intra tumoral heterogeneity. In this study we used a pathway-based approach to illustrate the role of cell line background in transcriptomic modification during a cross talk with MSC. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Uruguay | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 28% |
| Student > Master | 10 | 18% |
| Researcher | 7 | 12% |
| Professor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 26% |
| Agricultural and Biological Sciences | 12 | 21% |
| Medicine and Dentistry | 9 | 16% |
| Nursing and Health Professions | 3 | 5% |
| Neuroscience | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 10 | 18% |
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 06 March 2014.
All research outputs
#20,223,099
of 22,747,498 outputs
Outputs from Journal of Translational Medicine
#3,305
of 3,976 outputs
Outputs of similar age
#189,801
of 221,294 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 59 outputs
Altmetric has tracked 22,747,498 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 3,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 221,294 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 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.