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Mendeley readers
Attention Score in Context
Title |
Boolean implication networks derived from large scale, whole genome microarray datasets
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Published in |
Genome Biology, October 2008
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DOI | 10.1186/gb-2008-9-10-r157 |
Pubmed ID | |
Authors |
Debashis Sahoo, David L Dill, Andrew J Gentles, Robert Tibshirani, Sylvia K Plevritis |
Abstract |
We describe a method for extracting Boolean implications (if-then relationships) in very large amounts of gene expression microarray data. A meta-analysis of data from thousands of microarrays for humans, mice, and fruit flies finds millions of implication relationships between genes that would be missed by other methods. These relationships capture gender differences, tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three species. |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
United States | 2 | 2% |
Switzerland | 1 | <1% |
Hong Kong | 1 | <1% |
United Kingdom | 1 | <1% |
Israel | 1 | <1% |
Taiwan | 1 | <1% |
Poland | 1 | <1% |
Unknown | 100 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 29% |
Researcher | 28 | 25% |
Professor > Associate Professor | 12 | 11% |
Professor | 9 | 8% |
Student > Master | 8 | 7% |
Other | 15 | 14% |
Unknown | 6 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 45 | 41% |
Medicine and Dentistry | 16 | 15% |
Computer Science | 15 | 14% |
Biochemistry, Genetics and Molecular Biology | 9 | 8% |
Engineering | 4 | 4% |
Other | 12 | 11% |
Unknown | 9 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 March 2024.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Genome Biology
#2,428
of 4,467 outputs
Outputs of similar age
#11,085
of 104,491 outputs
Outputs of similar age from Genome Biology
#6
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 45th percentile – i.e., 45% 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 104,491 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.