You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated analysis of microRNA and mRNA expression: adding biological significance to microRNA target predictions
|
|---|---|
| Published in |
Nucleic Acids Research, June 2013
|
| DOI | 10.1093/nar/gkt525 |
| Pubmed ID | |
| Authors |
Maarten van Iterson, Sander Bervoets, Emile J. de Meijer, Henk P. Buermans, Peter A. C. ’t Hoen, Renée X. Menezes, Judith M. Boer |
| Abstract |
Current microRNA target predictions are based on sequence information and empirically derived rules but do not make use of the expression of microRNAs and their targets. This study aimed to improve microRNA target predictions in a given biological context, using in silico predictions, microRNA and mRNA expression. We used target prediction tools to produce lists of predicted targets and used a gene set test designed to detect consistent effects of microRNAs on the joint expression of multiple targets. In a single test, association between microRNA expression and target gene set expression as well as the contribution of the individual target genes on the association are determined. The strongest negatively associated mRNAs as measured by the test were prioritized. We applied our integration method to a well-defined muscle differentiation model. Validation of our predictions in C2C12 cells confirmed predicted targets of known as well as novel muscle-related microRNAs. We further studied associations between microRNA-mRNA pairs in human prostate cancer, finding some pairs that have been recently experimentally validated by others. Using the same study, we showed the advantages of the global test over Pearson correlation and lasso. We conclude that our integrated approach successfully identifies regulated microRNAs and their targets. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United Kingdom | 1 | 13% |
| Peru | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Members of the public | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Netherlands | 2 | 2% |
| Italy | 1 | <1% |
| Czechia | 1 | <1% |
| India | 1 | <1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 118 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 31% |
| Student > Ph. D. Student | 32 | 25% |
| Student > Master | 17 | 13% |
| Professor > Associate Professor | 9 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 19 | 15% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 49% |
| Biochemistry, Genetics and Molecular Biology | 23 | 18% |
| Computer Science | 11 | 9% |
| Medicine and Dentistry | 7 | 5% |
| Mathematics | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 13 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 26 March 2015.
All research outputs
#1,826,289
of 25,373,627 outputs
Outputs from Nucleic Acids Research
#1,588
of 27,550 outputs
Outputs of similar age
#15,315
of 210,334 outputs
Outputs of similar age from Nucleic Acids Research
#11
of 263 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 94% of its peers.
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 210,334 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.