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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
|
|---|---|
| Published in |
BMC Bioinformatics, February 2011
|
| DOI | 10.1186/1471-2105-12-52 |
| Pubmed ID | |
| Authors |
Barry R Zeeberg, Hongfang Liu, Ari B Kahn, Martin Ehler, Vinodh N Rajapakse, Robert F Bonner, Jacob D Brown, Brian P Brooks, Vladimir L Larionov, William Reinhold, John N Weinstein, Yves G Pommier |
| Abstract |
The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such as GoMiner can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Two or more of the categories are often redundant, in the sense that identical or nearly-identical sets of genes map to the categories. The redundancy might typically inflate the report of significant categories by a factor of three-fold, create an illusion of an overly long list of significant categories, and obscure the relevant biological interpretation. |
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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Germany | 2 | 3% |
| Portugal | 1 | 2% |
| Brazil | 1 | 2% |
| France | 1 | 2% |
| Spain | 1 | 2% |
| India | 1 | 2% |
| Unknown | 47 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 38% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Master | 5 | 9% |
| Professor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 52% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 5 | 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 24 June 2012.
All research outputs
#20,160,460
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#6,820
of 7,247 outputs
Outputs of similar age
#172,696
of 183,542 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 35 outputs
Altmetric has tracked 22,669,724 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 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 183,542 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 35 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.