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c-Met and miRs in Cancer

Overview of attention for article published in Biomedicines, January 2015
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Title
c-Met and miRs in Cancer
Published in
Biomedicines, January 2015
DOI 10.3390/biomedicines3010032
Pubmed ID
Authors

Simona Giglio, Andrea Vecchione

Abstract

c-Met, a member of the receptor tyrosine kinase family, is involved in a wide range of cellular processes, including tumor survival, cell growth, angiogenesis and metastasis, and resulting in overexpression in many human cancers, leading to a constitutive activation of the downstream pathways. Recently identified MicroRNAs are a family of small noncoding RNA molecules, extensively studied in cancer, that exert their action by inhibiting gene expression at the posttranscriptional level in several biological processes. Aberrant regulation of microRNAs expression has been implicated in the pathogenesis of different human neoplasia. Several publications point out the connections between c-Met and its ligand hepatocyte growth factor (HGF) and microRNAs. This review summarizes the current knowledge about the interplay between c-Met/HGF and microRNAs and provides evidence that microRNAs are a novel and additional system to regulate c-Met expression in tumors. In the future, microRNAs connected to c-Met may provide an additional option to inhibiting this oncogene from orchestrating an invasive growth program.

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

Geographical breakdown

Country Count As %
Iraq 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Doctoral Student 2 14%
Student > Bachelor 1 7%
Lecturer > Senior Lecturer 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 3 21%
Medicine and Dentistry 3 21%
Unknown 4 29%
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 05 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from Biomedicines
#2,923
of 3,609 outputs
Outputs of similar age
#295,393
of 352,499 outputs
Outputs of similar age from Biomedicines
#6
of 7 outputs
Altmetric has tracked 22,776,824 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 3,609 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 352,499 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 7 others from the same source and published within six weeks on either side of this one.