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MicroRNA miR-30 family regulates non-attachment growth of breast cancer cells

Overview of attention for article published in BMC Genomics, February 2013
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Title
MicroRNA miR-30 family regulates non-attachment growth of breast cancer cells
Published in
BMC Genomics, February 2013
DOI 10.1186/1471-2164-14-139
Pubmed ID
Authors

Maria Ouzounova, Tri Vuong, Pierre-Benoit Ancey, Mylène Ferrand, Geoffroy Durand, Florence Le-Calvez Kelm, Carlo Croce, Chantal Matar, Zdenko Herceg, Hector Hernandez-Vargas

Abstract

A subset of breast cancer cells displays increased ability to self-renew and reproduce breast cancer heterogeneity. The characterization of these so-called putative breast tumor-initiating cells (BT-ICs) may open the road for novel therapeutic strategies. As microRNAs (miRNAs) control developmental programs in stem cells, BT-ICs may also rely on specific miRNA profiles for their sustained activity. To explore the notion that miRNAs may have a role in sustaining BT-ICs, we performed a comprehensive profiling of miRNA expression in a model of putative BT-ICs enriched by non-attachment growth conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
United Kingdom 1 1%
Ukraine 1 1%
Denmark 1 1%
Spain 1 1%
United States 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Master 16 20%
Student > Ph. D. Student 15 19%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 7 9%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 41%
Biochemistry, Genetics and Molecular Biology 18 23%
Medicine and Dentistry 10 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 12 15%
Attention Score in Context

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 13 March 2013.
All research outputs
#17,681,263
of 22,699,621 outputs
Outputs from BMC Genomics
#7,533
of 10,616 outputs
Outputs of similar age
#140,516
of 192,986 outputs
Outputs of similar age from BMC Genomics
#92
of 138 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 192,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.