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MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer

Overview of attention for article published in Cancer Cell International, February 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 tweeters

Citations

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28 Dimensions

Readers on

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36 Mendeley
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Title
MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer
Published in
Cancer Cell International, February 2016
DOI 10.1186/s12935-016-0285-6
Pubmed ID
Authors

Jiaqi Wang, Huamao Ye, Dandan Zhang, Yijun Hu, Xiya Yu, Long Wang, Changjing Zuo, Yongwei Yu, Guixia Xu, Shanrong Liu

Abstract

Prostate cancer (PCa) remains to be a diagnostic challenge due to its variable presentation and the lack of reliable diagnosis tool. MicroRNAs (miRNAs) regulate gene in extensive range of pathophysiologic processes. Plasma miRNAs are ideal biomarkers in heart failure, diabetes and other disease. However, using circulating miRNAs as biomarkers for the diagnosis of PCa is still unknown. 149 PCa patients, 57 healthy controls, and 121 non-cancer patients (benign prostatic hyperplasia and other urinary diseases) were enrolled in this study. The reverse transcription of miRNA and SYBR-Green-based double standards curve miRNA quantitative polymerase chain reactions (qPCR) were used to evaluate the dysregulated miR-410-5p. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic accuracy of miR-410-5p identified as the alternative biomarker. Circulating miRNA-410-5p (miR-410-5p) level was significantly higher in the PCa patients than in healthy controls or non-cancer patients. ROC curve analysis showed that plasma miR-410-5p was a specific diagnostic biomarker of PCa with an area under curve(AUC) of 0.8097 (95 % confidence interval, 0.7371-0.8823; P < 0.001). The serum miR-410-5p level is a potential biomarker for the diagnosis of PCa.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 28%
Student > Ph. D. Student 7 19%
Student > Bachelor 3 8%
Researcher 2 6%
Lecturer 2 6%
Other 4 11%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 33%
Medicine and Dentistry 7 19%
Agricultural and Biological Sciences 4 11%
Chemistry 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 8 22%

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 19 May 2016.
All research outputs
#3,431,689
of 7,719,347 outputs
Outputs from Cancer Cell International
#65
of 307 outputs
Outputs of similar age
#123,519
of 287,086 outputs
Outputs of similar age from Cancer Cell International
#3
of 13 outputs
Altmetric has tracked 7,719,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 77% 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 287,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.