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Characteristic patterns of microRNA expression in human bladder cancer

Overview of attention for article published in Frontiers in Genetics, January 2013
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1 X user
peer_reviews
1 peer review site

Citations

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34 Dimensions

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29 Mendeley
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Title
Characteristic patterns of microRNA expression in human bladder cancer
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2012.00310
Pubmed ID
Authors

Anastasia A. Zabolotneva, Alex Zhavoronkov, Andrew V. Garazha, Sergey A. Roumiantsev, Anton A. Buzdin

Abstract

MicroRNAs (miRNAs) are small, non-coding RNAs that post-transcriptionally regulate gene expression. Their altered expression and functional activity have been observed in many human cancers. miRNAs represent promising diagnostic and prognostic molecular biomarkers, and also serve as novel therapeutic targets. We performed a systematic analysis of scientific reports that link differences in miRNA expression with the pathogenesis of bladder cancer (BC). This literature review is the first comprehensive database of miRNA molecules with biased expression profiles in BC. Among the 95 differentially expressed miRNAs that we identified from the literature, we classify 48 as up-regulated in BC, 35 as down-regulated, and 12 as contradictory (contradictory data were reported in one or more studies on the gene). In addition, we discuss the possible roles of differentially expressed miRNAs in the regulation of intracellular signaling pathways in BC.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 45%
Student > Ph. D. Student 4 14%
Student > Master 4 14%
Lecturer 2 7%
Student > Bachelor 1 3%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Medicine and Dentistry 6 21%
Biochemistry, Genetics and Molecular Biology 6 21%
Veterinary Science and Veterinary Medicine 1 3%
Unspecified 1 3%
Other 2 7%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2013.
All research outputs
#14,741,936
of 22,691,736 outputs
Outputs from Frontiers in Genetics
#4,433
of 11,754 outputs
Outputs of similar age
#175,236
of 280,671 outputs
Outputs of similar age from Frontiers in Genetics
#175
of 319 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,754 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 280,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.