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cir-ITCH Plays an Inhibitory Role in Colorectal Cancer by Regulating the Wnt/β-Catenin Pathway

Overview of attention for article published in PLOS ONE, June 2015
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2 X users
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1 peer review site

Citations

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288 Dimensions

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81 Mendeley
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Title
cir-ITCH Plays an Inhibitory Role in Colorectal Cancer by Regulating the Wnt/β-Catenin Pathway
Published in
PLOS ONE, June 2015
DOI 10.1371/journal.pone.0131225
Pubmed ID
Authors

Guanli Huang, Hua Zhu, Yixiong Shi, Wenzhi Wu, Huajie Cai, Xiangjian Chen

Abstract

Noncoding RNAs (ncRNAs) are the dominant product of eukaryotic transcription. These products range from short microRNAs (miRNAs) to long intergenic noncoding RNAs (lincRNAs). Circular RNAs composed of exonic sequences represent an understudied form of ncRNA that was discovered more than 20 years ago. Using a TaqMan-based reverse transcriptase polymerase chain reaction assay, we analyzed the relationship between cir-ITCH expression and colorectal cancer (CRC) in a total of 45 CRCs and paired adjacent non-tumor tissue samples. We found that cir-ITCH expression was typically down-regulated in CRC compared to the peritumoral tissue. This result, as well as several follow-up experiments, showed that cir-ITCH could increase the level of ITCH, which is involved in the inhibition of the Wnt/β-catenin pathway. Therefore, our results showed that cir-ITCH plays a role in CRC by regulating the Wnt/β-catenin pathway.

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

Geographical breakdown

Country Count As %
Denmark 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Master 15 19%
Researcher 13 16%
Student > Bachelor 11 14%
Student > Doctoral Student 3 4%
Other 5 6%
Unknown 19 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 27%
Agricultural and Biological Sciences 17 21%
Medicine and Dentistry 10 12%
Immunology and Microbiology 3 4%
Computer Science 2 2%
Other 7 9%
Unknown 20 25%
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 07 December 2016.
All research outputs
#14,230,708
of 22,815,414 outputs
Outputs from PLOS ONE
#116,542
of 194,701 outputs
Outputs of similar age
#135,698
of 263,898 outputs
Outputs of similar age from PLOS ONE
#3,689
of 6,718 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 36th percentile – i.e., 36% 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 263,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6,718 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.