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.
Mendeley readers
Attention Score in Context
| Title |
Derivation of genetic interaction networks from quantitative phenotype data
|
|---|---|
| Published in |
Genome Biology, March 2005
|
| DOI | 10.1186/gb-2005-6-4-r38 |
| Pubmed ID | |
| Authors |
Becky L Drees, Vesteinn Thorsson, Gregory W Carter, Alexander W Rives, Marisa Z Raymond, Iliana Avila-Campillo, Paul Shannon, Timothy Galitski |
| Abstract |
We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. Mutations formed cliques of significant mutual information in their large-scale patterns of genetic interaction. These local and global interaction patterns reflect the effects of gene perturbations on biological processes and pathways. |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Slovenia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 108 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 32% |
| Student > Ph. D. Student | 23 | 19% |
| Professor > Associate Professor | 14 | 12% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 14 | 12% |
| Unknown | 10 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 50% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Computer Science | 14 | 12% |
| Medicine and Dentistry | 6 | 5% |
| Engineering | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 15 | 13% |
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 23 December 2017.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#25,954
of 74,270 outputs
Outputs of similar age from Genome Biology
#15
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 14th percentile – i.e., 14% 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 74,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.