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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The strength of genetic interactions scales weakly with mutational effects
|
|---|---|
| Published in |
Genome Biology, July 2013
|
| DOI | 10.1186/gb-2013-14-7-r76 |
| Pubmed ID | |
| Authors |
Andrea Velenich, Jeff Gore |
| Abstract |
Genetic interactions pervade every aspect of biology, from evolutionary theory, where they determine the accessibility of evolutionary paths, to medicine, where they can contribute to complex genetic diseases. Until very recently, studies on epistatic interactions have been based on a handful of mutations, providing at best anecdotal evidence about the frequency and the typical strength of genetic interactions. In this study, we analyze a publicly available dataset that contains the growth rates of over five million double knockout mutants of the yeast Saccharomyces cerevisiae. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| United States | 1 | 20% |
| Norway | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Spain | 2 | 3% |
| United Kingdom | 1 | 1% |
| Unknown | 60 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 30% |
| Student > Ph. D. Student | 17 | 25% |
| Professor | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 57% |
| Physics and Astronomy | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Neuroscience | 2 | 3% |
| Mathematics | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 15 August 2013.
All research outputs
#2,732,010
of 25,373,627 outputs
Outputs from Genome Biology
#2,131
of 4,467 outputs
Outputs of similar age
#22,895
of 209,855 outputs
Outputs of similar age from Genome Biology
#24
of 62 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 89th 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 has gotten more attention than average, scoring higher than 52% of its peers.
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 209,855 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 89% of its contemporaries.
We're also able to compare this research output to 62 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 61% of its contemporaries.