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Mendeley readers
Attention Score in Context
Title |
MmPalateMiRNA, an R package compendium illustrating analysis of miRNA microarray data
|
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Published in |
Source Code for Biology and Medicine, January 2013
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DOI | 10.1186/1751-0473-8-1 |
Pubmed ID | |
Authors |
Guy N Brock, Partha Mukhopadhyay, Vasyl Pihur, Cynthia Webb, Robert M Greene, M Michele Pisano |
Abstract |
MicroRNAs (miRNAs) constitute the largest family of noncoding RNAs involved in gene silencing and represent critical regulators of cell and tissue differentiation. Microarray expression profiling of miRNAs is an effective means of acquiring genome-level information of miRNA activation and inhibition, as well as the potential regulatory role that these genes play within a biological system. As with mRNA expression profiling arrays, miRNA microarrays come in a variety of platforms from numerous manufacturers, and there are a multitude of techniques available for reducing and analyzing these data. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
Germany | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 5% |
Poland | 1 | 3% |
Spain | 1 | 3% |
Unknown | 33 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 27% |
Student > Ph. D. Student | 8 | 22% |
Student > Master | 7 | 19% |
Student > Bachelor | 3 | 8% |
Professor > Associate Professor | 2 | 5% |
Other | 3 | 8% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 49% |
Biochemistry, Genetics and Molecular Biology | 6 | 16% |
Medicine and Dentistry | 4 | 11% |
Computer Science | 3 | 8% |
Mathematics | 2 | 5% |
Other | 1 | 3% |
Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 January 2013.
All research outputs
#14,159,409
of 22,691,736 outputs
Outputs from Source Code for Biology and Medicine
#75
of 127 outputs
Outputs of similar age
#168,361
of 282,035 outputs
Outputs of similar age from Source Code for Biology and Medicine
#5
of 6 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% 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 282,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.