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Dynamic imbalance between cancer cell subpopulations induced by Transforming Growth Factor Beta (TGF-β) is associated with a DNA methylome switch

Overview of attention for article published in BMC Genomics, January 2014
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Mentioned by

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2 tweeters

Citations

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21 Dimensions

Readers on

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18 Mendeley
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Title
Dynamic imbalance between cancer cell subpopulations induced by Transforming Growth Factor Beta (TGF-β) is associated with a DNA methylome switch
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-435
Pubmed ID
Authors

Marion Martin, Pierre-Benoit Ancey, Marie-Pierre Cros, Geoffroy Durand, Florence Le Calvez-Kelm, Hector Hernandez-Vargas, Zdenko Herceg

Abstract

Distinct subpopulations of neoplastic cells within tumors, including hepatocellular carcinoma (HCC), display pronounced ability to initiate new tumors and induce metastasis. Recent evidence suggests that signals from transforming growth factor beta (TGF-β) may increase the survival of these so called tumor initiating cells leading to poor HCC prognosis. However, how TGF-β establishes and modifies the key features of these cell subpopulations is not fully understood.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Researcher 4 22%
Student > Master 1 6%
Professor 1 6%
Other 1 6%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 56%
Biochemistry, Genetics and Molecular Biology 5 28%
Computer Science 1 6%
Unknown 2 11%

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 05 June 2014.
All research outputs
#9,479,973
of 12,378,406 outputs
Outputs from BMC Genomics
#5,222
of 7,251 outputs
Outputs of similar age
#122,103
of 197,153 outputs
Outputs of similar age from BMC Genomics
#166
of 257 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 22nd percentile – i.e., 22% 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 197,153 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.