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
Chapter title |
Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples.
|
---|---|
Chapter number | 239 |
Book title |
Microarray Data Analysis
|
Published in |
Methods in molecular biology, May 2015
|
DOI | 10.1007/7651_2015_239 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3172-9, 978-1-4939-3173-6
|
Authors |
Wu, Di, Gantier, Michael P, Di Wu, Michael P. Gantier, Gantier, Michael P. |
Abstract |
microRNA (miRNA) microarray normalization is a critical step for the identification of truly differentially expressed miRNAs. This is particularly important when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 67% |
Lecturer | 2 | 22% |
Student > Master | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 33% |
Agricultural and Biological Sciences | 2 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Engineering | 1 | 11% |
Other | 0 | 0% |
Unknown | 1 | 11% |
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 16 May 2015.
All research outputs
#20,271,607
of 22,803,211 outputs
Outputs from Methods in molecular biology
#9,905
of 13,120 outputs
Outputs of similar age
#222,088
of 264,461 outputs
Outputs of similar age from Methods in molecular biology
#15
of 21 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,120 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 264,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.