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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
|
|---|---|
| Published in |
Frontiers in Microbiology, September 2016
|
| DOI | 10.3389/fmicb.2016.01444 |
| Pubmed ID | |
| Authors |
Kim L Hoang, Levi T Morran, Nicole M Gerardo |
| Abstract |
Microorganisms play a significant role in the evolution and functioning of the eukaryotes with which they interact. Much of our understanding of beneficial host-microbe interactions stems from studying already established associations; we often infer the genotypic and environmental conditions that led to the existing host-microbe relationships. However, several outstanding questions remain, including understanding how host and microbial (internal) traits, and ecological and evolutionary (external) processes, influence the origin of beneficial host-microbe associations. Experimental evolution has helped address a range of evolutionary and ecological questions across different model systems; however, it has been greatly underutilized as a tool to study beneficial host-microbe associations. In this review, we suggest ways in which experimental evolution can further our understanding of the proximate and ultimate mechanisms shaping mutualistic interactions between eukaryotic hosts and microbes. By tracking beneficial interactions under defined conditions or evolving novel associations among hosts and microbes with little prior evolutionary interaction, we can link specific genotypes to phenotypes that can be directly measured. Moreover, this approach will help address existing puzzles in beneficial symbiosis research: how symbioses evolve, how symbioses are maintained, and how both host and microbe influence their partner's evolutionary trajectories. By bridging theoretical predictions and empirical tests, experimental evolution provides us with another approach to test hypotheses regarding the evolution of beneficial host-microbe associations. |
X Demographics
The data shown below were collected from the profiles of 33 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 States | 14 | 42% |
| France | 2 | 6% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 13 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 25 | 76% |
| Members of the public | 8 | 24% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 162 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 27% |
| Researcher | 28 | 17% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 17 | 10% |
| Professor | 10 | 6% |
| Other | 24 | 14% |
| Unknown | 20 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 48% |
| Biochemistry, Genetics and Molecular Biology | 32 | 19% |
| Immunology and Microbiology | 11 | 7% |
| Environmental Science | 9 | 5% |
| Unspecified | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 27 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 29 September 2016.
All research outputs
#1,960,811
of 25,728,855 outputs
Outputs from Frontiers in Microbiology
#1,313
of 29,748 outputs
Outputs of similar age
#32,812
of 331,981 outputs
Outputs of similar age from Frontiers in Microbiology
#32
of 454 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,748 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 95% 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 331,981 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 90% of its contemporaries.
We're also able to compare this research output to 454 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.