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Association between miR-27a genetic variants and susceptibility to colorectal cancer

Overview of attention for article published in Diagnostic Pathology, July 2014
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Title
Association between miR-27a genetic variants and susceptibility to colorectal cancer
Published in
Diagnostic Pathology, July 2014
DOI 10.1186/1746-1596-9-146
Pubmed ID
Authors

Zaiqiu Wang, Xiaoli Sun, Yeli Wang, Xiaofang Liu, Yuanjie Xuan, Sanyuan Hu

Abstract

MicroRNAs (miRNAs) are short, non-coding RNAs that negatively regulate target genes. A single nucleotide polymorphism (SNP) in a miRNA sequence may alter miRNA expression and/or maturation, which was proposed to associate with the development and progression of cancer. The rs895819 polymorphism, located in the terminal loop of pre-miR-27a, has been reported to have relevance to several cancers. In this study, we investigated the possibility of association between polymorphism in rs895819 and susceptibility to colorectal cancer (CRC).

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 3 16%
Researcher 3 16%
Student > Postgraduate 2 11%
Lecturer 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Medicine and Dentistry 4 21%
Biochemistry, Genetics and Molecular Biology 4 21%
Agricultural and Biological Sciences 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 6 32%
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 30 July 2014.
All research outputs
#18,375,478
of 22,759,618 outputs
Outputs from Diagnostic Pathology
#758
of 1,122 outputs
Outputs of similar age
#163,225
of 228,682 outputs
Outputs of similar age from Diagnostic Pathology
#19
of 30 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 16th percentile – i.e., 16% 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 228,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.