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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global analysis of the differentially expressed miRNAs of prostate cancer in Chinese patients
|
|---|---|
| Published in |
BMC Genomics, November 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 7 | 21% |
| Student > Bachelor | 4 | 12% |
| Other | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Medicine and Dentistry | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Computer Science | 4 | 12% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 24% |
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
#20,209,145
of 22,729,647 outputs
Outputs from BMC Genomics
#9,254
of 10,628 outputs
Outputs of similar age
#187,645
of 215,386 outputs
Outputs of similar age from BMC Genomics
#122
of 161 outputs
Altmetric has tracked 22,729,647 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 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. 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 161 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.