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X Demographics
Mendeley readers
Attention Score in Context
| Title |
WebGimm: An integrated web-based platform for cluster analysis, functional analysis, and interactive visualization of results
|
|---|---|
| Published in |
Source Code for Biology and Medicine, January 2011
|
| DOI | 10.1186/1751-0473-6-3 |
| Pubmed ID | |
| Authors |
Vineet K Joshi, Johannes M Freudenberg, Zhen Hu, Mario Medvedovic |
| Abstract |
Cluster analysis methods have been extensively researched, but the adoption of new methods is often hindered by technical barriers in their implementation and use. WebGimm is a free cluster analysis web-service, and an open source general purpose clustering web-server infrastructure designed to facilitate easy deployment of integrated cluster analysis servers based on clustering and functional annotation algorithms implemented in R. Integrated functional analyses and interactive browsing of both, clustering structure and functional annotations provides a complete analytical environment for cluster analysis and interpretation of results. The Java Web Start client-based interface is modeled after the familiar cluster/treeview packages making its use intuitive to a wide array of biomedical researchers. For biomedical researchers, WebGimm provides an avenue to access state of the art clustering procedures. For Bioinformatics methods developers, WebGimm offers a convenient avenue to deploy their newly developed clustering methods. WebGimm server, software and manuals can be freely accessed at http://ClusterAnalysis.org/. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 3% |
| India | 1 | 3% |
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 24 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Researcher | 7 | 24% |
| Student > Bachelor | 4 | 14% |
| Professor | 3 | 10% |
| Other | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 48% |
| Computer Science | 5 | 17% |
| Engineering | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Philosophy | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 2 | 7% |
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 18 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from Source Code for Biology and Medicine
#111
of 127 outputs
Outputs of similar age
#171,185
of 181,889 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 2 outputs
Altmetric has tracked 22,671,366 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 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 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 181,889 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 2 others from the same source and published within six weeks on either side of this one.