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A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study

Overview of attention for article published in BMC Genomics, July 2012
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1 tweeter

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Title
A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study
Published in
BMC Genomics, July 2012
DOI 10.1186/1471-2164-13-332
Pubmed ID
22823907
Authors

Elena Fountzilas, Andrew D Kelly, Antonio R Perez-Atayde, Jeffrey Goldsmith, Panagiotis A Konstantinopoulos, Nancy Francoeur, Mick Correll, Renee Rubio, Lan Hu, Mark C Gebhardt, John Quackenbush, Dimitrios Spentzos

Abstract

MicroRNAs (miRNAs) are nucleic acid regulators of many human mRNAs, and are associated with many tumorigenic processes. miRNA expression levels have been used in profiling studies, but some evidence suggests that expression levels do not fully capture miRNA regulatory activity. In this study we integrate multiple gene expression datasets to determine miRNA activity patterns associated with cancer phenotypes and oncogenic pathways in mesenchymal tumors - a very heterogeneous class of malignancies.

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

Geographical breakdown

Country Count As %
France 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 32%
Student > Ph. D. Student 5 23%
Professor > Associate Professor 3 14%
Professor 2 9%
Student > Bachelor 2 9%
Other 2 9%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Medicine and Dentistry 6 27%
Biochemistry, Genetics and Molecular Biology 4 18%
Engineering 2 9%
Social Sciences 1 5%
Other 1 5%
Unknown 1 5%

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 23 July 2012.
All research outputs
#10,995,827
of 12,373,620 outputs
Outputs from BMC Genomics
#6,427
of 7,313 outputs
Outputs of similar age
#103,993
of 121,198 outputs
Outputs of similar age from BMC Genomics
#57
of 68 outputs
Altmetric has tracked 12,373,620 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 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. 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 121,198 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 68 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.

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