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Mendeley readers
Attention Score in Context
| Title |
Analysis of epistatic interactions and fitness landscapes using a new geometric approach
|
|---|---|
| Published in |
BMC Ecology and Evolution, April 2007
|
| DOI | 10.1186/1471-2148-7-60 |
| Pubmed ID | |
| Authors |
Niko Beerenwinkel, Lior Pachter, Bernd Sturmfels, Santiago F Elena, Richard E Lenski |
| Abstract |
Understanding interactions between mutations and how they affect fitness is a central problem in evolutionary biology that bears on such fundamental issues as the structure of fitness landscapes and the evolution of sex. To date, analyses of fitness landscapes have focused either on the overall directional curvature of the fitness landscape or on the distribution of pairwise interactions. In this paper, we propose and employ a new mathematical approach that allows a more complete description of multi-way interactions and provides new insights into the structure of fitness landscapes. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 4 | 3% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| Slovenia | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 120 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 28% |
| Researcher | 27 | 20% |
| Professor | 11 | 8% |
| Professor > Associate Professor | 10 | 7% |
| Student > Master | 8 | 6% |
| Other | 29 | 22% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 52% |
| Biochemistry, Genetics and Molecular Biology | 24 | 18% |
| Computer Science | 6 | 4% |
| Physics and Astronomy | 5 | 4% |
| Mathematics | 4 | 3% |
| Other | 13 | 10% |
| Unknown | 12 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 02 December 2016.
All research outputs
#2,529,876
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#648
of 3,714 outputs
Outputs of similar age
#6,201
of 88,767 outputs
Outputs of similar age from BMC Ecology and Evolution
#5
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 82% 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 88,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 32 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.