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Global analysis of the differentially expressed miRNAs of prostate cancer in Chinese patients

Overview of attention for article published in BMC Genomics, January 2013
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1 tweeter

Citations

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42 Dimensions

Readers on

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28 Mendeley
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1 CiteULike
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Title
Global analysis of the differentially expressed miRNAs of prostate cancer in Chinese patients
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-757
Pubmed ID
Authors

Hui-chan He, Zhao-dong Han, Qi-shan Dai, Xiao-hui Ling, Xin Fu, Zhuo-yuan Lin, Ye-han Deng, Guo-qiang Qin, Chao Cai, Jia-hong Chen, Fu-neng Jiang, Xingyin Liu, Wei-de Zhong

Abstract

Our recent study showed the global physiological function of the differentially expressed genes of prostate cancer in Chinese patients was different from that of other non-Chinese populations. microRNA are estimated to regulate the expression of greater than 60% of all protein-coding genes. To further investigate the global association between the transcript abundance of miRNAs and their target mRNAs in Chinese patients, we used microRNA microarray approach combined with bioinformatics and clinical-pathological assay to investigate the miRNA profile and evaluate the potential of miRNAs as diagnostic and prognostic markers in Chinese patients.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 25%
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 36%
Medicine and Dentistry 5 18%
Biochemistry, Genetics and Molecular Biology 5 18%
Computer Science 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 4 14%

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 November 2013.
All research outputs
#10,969,537
of 12,378,406 outputs
Outputs from BMC Genomics
#6,358
of 7,251 outputs
Outputs of similar age
#145,277
of 173,310 outputs
Outputs of similar age from BMC Genomics
#170
of 215 outputs
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So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.