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Mendeley readers
Attention Score in Context
| Title |
Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering
|
|---|---|
| Published in |
Genome Biology, October 2002
|
| DOI | 10.1186/gb-2002-3-11-research0059 |
| Pubmed ID | |
| Authors |
Audrey P Gasch, Michael B Eisen |
| Abstract |
Organisms simplify the orchestration of gene expression by coregulating genes whose products function together in the cell. Many proteins serve different roles depending on the demands of the organism, and therefore the corresponding genes are often coexpressed with different groups of genes under different situations. This poses a challenge in analyzing whole-genome expression data, because many genes will be similarly expressed to multiple, distinct groups of genes. Because most commonly used analytical methods cannot appropriately represent these relationships, the connections between conditionally coregulated genes are often missed. |
Mendeley readers
The data shown below were compiled from readership statistics for 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| Germany | 7 | 3% |
| France | 4 | 2% |
| United Kingdom | 3 | 1% |
| Spain | 2 | <1% |
| Switzerland | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 204 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 27% |
| Student > Ph. D. Student | 56 | 24% |
| Professor > Associate Professor | 23 | 10% |
| Student > Master | 18 | 8% |
| Professor | 16 | 7% |
| Other | 45 | 19% |
| Unknown | 16 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 50% |
| Computer Science | 43 | 18% |
| Biochemistry, Genetics and Molecular Biology | 18 | 8% |
| Engineering | 9 | 4% |
| Medicine and Dentistry | 6 | 3% |
| Other | 22 | 9% |
| Unknown | 20 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 March 2012.
All research outputs
#5,378,473
of 25,373,627 outputs
Outputs from Genome Biology
#2,894
of 4,467 outputs
Outputs of similar age
#8,824
of 50,691 outputs
Outputs of similar age from Genome Biology
#3
of 19 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 78th 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 35th percentile – i.e., 35% 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 50,691 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 82% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.