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Mendeley readers
Attention Score in Context
Title |
MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis
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Published in |
Genome Biology, July 2008
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DOI | 10.1186/gb-2008-9-7-r118 |
Pubmed ID | |
Authors |
Vu T Chu, Raphael Gottardo, Adrian E Raftery, Roger E Bumgarner, Ka Yee Yeung |
Abstract |
We present MeV+R, an integration of the JAVA MultiExperiment Viewer program with Bioconductor packages. This integration of MultiExperiment Viewer and R is easily extensible to other R packages and provides users with point and click access to traditionally command line driven tools written in R. We demonstrate the ability to use MultiExperiment Viewer as a graphical user interface for Bioconductor applications in microarray data analysis by incorporating three Bioconductor packages, RAMA, BRIDGE and iterativeBMA. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Germany | 2 | 2% |
Netherlands | 1 | 1% |
Chile | 1 | 1% |
France | 1 | 1% |
Portugal | 1 | 1% |
United Kingdom | 1 | 1% |
Brazil | 1 | 1% |
Spain | 1 | 1% |
Other | 1 | 1% |
Unknown | 72 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 32% |
Student > Ph. D. Student | 21 | 25% |
Professor > Associate Professor | 8 | 9% |
Professor | 6 | 7% |
Student > Master | 5 | 6% |
Other | 11 | 13% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 51 | 60% |
Biochemistry, Genetics and Molecular Biology | 14 | 16% |
Medicine and Dentistry | 4 | 5% |
Earth and Planetary Sciences | 2 | 2% |
Mathematics | 1 | 1% |
Other | 5 | 6% |
Unknown | 8 | 9% |
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 20 March 2012.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Genome Biology
#4,394
of 4,467 outputs
Outputs of similar age
#93,857
of 97,410 outputs
Outputs of similar age from Genome Biology
#39
of 40 outputs
Altmetric has tracked 25,374,647 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 97,410 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 40 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.