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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive analysis of microRNA-regulated protein interaction network reveals the tumor suppressive role of microRNA-149 in human hepatocellular carcinoma via targeting AKT-mTOR pathway
|
|---|---|
| Published in |
Molecular Cancer, November 2014
|
| DOI | 10.1186/1476-4598-13-253 |
| Pubmed ID | |
| Authors |
Yanqiong Zhang, Xiaodong Guo, Lu Xiong, Lingxiang Yu, Zhiwei Li, Qiuyan Guo, Zhiyan Li, Boan Li, Na Lin |
| Abstract |
Our previous study identified AKT1, AKT2 and AKT3 as unfavorable prognostic factors for patients with hepatocellular carcinoma (HCC). However, limited data are available on their exact mechanisms in HCC. Since microRNAs (miRNAs) are implicated in various human cancers including HCC, we aimed to screen miRNAs targeting AKTs and investigate their underlying mechanisms in HCC by integrating bioinformatics prediction, network analysis, functional assay and clinical validation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Researcher | 8 | 17% |
| Student > Master | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 35% |
| Agricultural and Biological Sciences | 6 | 13% |
| Medicine and Dentistry | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 10 | 22% |
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 27 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Molecular Cancer
#1,042
of 1,719 outputs
Outputs of similar age
#214,289
of 361,946 outputs
Outputs of similar age from Molecular Cancer
#19
of 35 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,719 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% 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 361,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.