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Attention Score in Context
| Title |
Construction of microRNA and transcription factor regulatory network based on gene expression data in cardiomyopathy
|
|---|---|
| Published in |
European Journal of Medical Research, October 2014
|
| DOI | 10.1186/s40001-014-0057-5 |
| Pubmed ID | |
| Authors |
Lei Wang, Jihua Hu, Haijian Xing, Min Sun, Juanli Wang, Qiang Jian, Hua Yang |
| Abstract |
BackgroundCardiomyopathy is a progressive myocardial disorder. Here, we attempted to reveal the possible mechanism of cardiomyopathy at the transcription level with the roles of microRNAs (miRNAs) and transcription factors (TFs) taken into account.MethodWe firstly identified differentially expressed genes (DEGs) between cardiomyopathy patients and controls with data from the gene expression omnibus (GEO) database. DEGs were associated with the canonical pathways, molecular and cellular functions, physiological system development and function in the Ingenuity Knowledge Base by using the Ingenuity Pathway Analysis (IPA) software. TFs and miRNAs that DEGs significantly enriched were identified and a double-factor regulatory network was constructed.ResultsA total of 1,680 DEGs were identified. The DEGs were enriched for various pathways, with glucocorticoid receptor signaling as the most significant. A double-factor regulatory network was constructed, including seven TFs and two miRNAs. A subnetwork under the regulation of MEF2C and SRF was also constructed to illustrate their regulatory effects on cardiac functions.ConclusionOur results may provide new understanding of cardiomyopathy and may facilitate further therapeutic studies. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 50% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 33% |
| Medicine and Dentistry | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Unknown | 3 | 25% |
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 24 October 2014.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from European Journal of Medical Research
#440
of 923 outputs
Outputs of similar age
#164,834
of 274,192 outputs
Outputs of similar age from European Journal of Medical Research
#6
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.