↓ Skip to main content

Article

Overview of attention for article published in Genome Biology (Online Edition), January 2005
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
2 CiteULike
connotea
3 Connotea
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.
Title
Published in
Genome Biology (Online Edition), January 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 120 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 109 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 32%
Student > Ph. D. Student 24 20%
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 49%
Biochemistry, Genetics and Molecular Biology 14 12%
Computer Science 14 12%
Medicine and Dentistry 6 5%
Engineering 4 3%
Other 8 7%
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
#816,746
of 3,635,033 outputs
Outputs from Genome Biology (Online Edition)
#952
of 1,554 outputs
Outputs of similar age
#25,101
of 95,684 outputs
Outputs of similar age from Genome Biology (Online Edition)
#58
of 70 outputs
Altmetric has tracked 3,635,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 29th percentile – i.e., 29% 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 95,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.