↓ Skip to main content

BAMarray™: Java software for Bayesian analysis of variance for microarray data

Overview of attention for article published in BMC Bioinformatics, February 2006
Altmetric Badge

Mentioned by

policy
1 policy source

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
26 Mendeley
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.
Title
BAMarray™: Java software for Bayesian analysis of variance for microarray data
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-59
Pubmed ID
Authors

Hemant Ishwaran, J Sunil Rao, Udaya B Kogalur

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 8%
Japan 1 4%
India 1 4%
Italy 1 4%
Unknown 21 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Student > Ph. D. Student 5 19%
Professor 3 12%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 3 12%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 23%
Psychology 6 23%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 2 8%
Medicine and Dentistry 2 8%
Other 2 8%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2011.
All research outputs
#7,528,880
of 22,974,684 outputs
Outputs from BMC Bioinformatics
#3,036
of 7,308 outputs
Outputs of similar age
#41,056
of 155,695 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 55 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 155,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.