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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clear cell renal cell carcinoma associated microRNA expression signatures identified by an integrated bioinformatics analysis
|
|---|---|
| Published in |
Journal of Translational Medicine, July 2013
|
| DOI | 10.1186/1479-5876-11-169 |
| Pubmed ID | |
| Authors |
Jiajia Chen, Daqing Zhang, Wenyu Zhang, Yifei Tang, Wenying Yan, Lingchuan Guo, Bairong Shen |
| Abstract |
Clear cell renal cell carcinoma (ccRCC) represents the most invasive and common adult kidney neoplasm. Mounting evidence suggests that microRNAs (miRNAs) are important regulators of gene expression. But their function in tumourigenesis in this tumour type remains elusive. With the development of high throughput technologies such as microarrays and NGS, aberrant miRNA expression has been widely observed in ccRCC. Systematic and integrative analysis of multiple microRNA expression datasets may reveal potential mechanisms by which microRNAs contribute to ccRCC pathogenesis. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Ph. D. Student | 14 | 25% |
| Other | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 27% |
| Agricultural and Biological Sciences | 14 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 18% |
| Computer Science | 3 | 5% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 11 | 20% |
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 12 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Journal of Translational Medicine
#2,942
of 3,973 outputs
Outputs of similar age
#145,781
of 194,204 outputs
Outputs of similar age from Journal of Translational Medicine
#25
of 29 outputs
Altmetric has tracked 22,714,025 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 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 194,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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.