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Mendeley readers
Attention Score in Context
Chapter title |
Integrated miRNA Expression Analysis and Target Prediction.
|
---|---|
Chapter number | 20 |
Book title |
Next-Generation MicroRNA Expression Profiling Technology
|
Published in |
Methods in molecular biology, January 2012
|
DOI | 10.1007/978-1-61779-427-8_20 |
Pubmed ID | |
Book ISBNs |
978-1-61779-426-1, 978-1-61779-427-8
|
Authors |
William Ritchie, John E. J. Rasko, Ritchie, William, Rasko, John E. J. |
Abstract |
The accurate prediction of microRNA targets is essential to understanding their function. Commonly used software produces a prohibitive number of predicted targets for each microRNA. Here, we describe procedures that refine these predictions by integrating available software and expression data from experiments available online. These procedures are tailored to experiments, where predicting true targets is more important than detecting all putative targets. Our approach is tailored to the experimental biologist who seeks to identify a workable set of putative microRNA target genes for further characterization. |
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 % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 5% |
Brazil | 1 | 5% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 23% |
Researcher | 4 | 18% |
Professor | 3 | 14% |
Student > Doctoral Student | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Other | 4 | 18% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 50% |
Biochemistry, Genetics and Molecular Biology | 4 | 18% |
Computer Science | 3 | 14% |
Engineering | 1 | 5% |
Unknown | 3 | 14% |
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 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from Methods in molecular biology
#7,806
of 13,019 outputs
Outputs of similar age
#195,918
of 244,041 outputs
Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
Altmetric has tracked 22,659,164 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 13,019 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.