| Title |
Goldilocks Meets Santa Rosalia: An Ephemeral Speciation Model Explains Patterns of Diversification Across Time Scales
|
|---|---|
| Published in |
Evolutionary Biology, March 2012
|
| DOI | 10.1007/s11692-012-9171-x |
| Pubmed ID | |
| Authors |
Erica Bree Rosenblum, Brice A. J. Sarver, Joseph W. Brown, Simone Des Roches, Kayla M. Hardwick, Tyler D. Hether, Jonathan M. Eastman, Matthew W. Pennell, Luke J. Harmon |
| Abstract |
Understanding the rate at which new species form is a key question in studying the evolution of life on earth. Here we review our current understanding of speciation rates, focusing on studies based on the fossil record, phylogenies, and mathematical models. We find that speciation rates estimated from these different studies can be dramatically different: some studies find that new species form quickly and often, while others find that new species form much less frequently. We suggest that instead of being contradictory, differences in speciation rates across different scales can be reconciled by a common model. Under the "ephemeral speciation model", speciation is very common and very rapid but the new species produced almost never persist. Evolutionary studies should therefore focus on not only the formation but also the persistence of new species. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| Brazil | 3 | 1% |
| Germany | 2 | <1% |
| Switzerland | 2 | <1% |
| India | 2 | <1% |
| Sweden | 2 | <1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 253 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 33% |
| Researcher | 45 | 16% |
| Student > Master | 35 | 13% |
| Student > Bachelor | 22 | 8% |
| Professor > Associate Professor | 16 | 6% |
| Other | 48 | 17% |
| Unknown | 22 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 199 | 71% |
| Biochemistry, Genetics and Molecular Biology | 19 | 7% |
| Environmental Science | 12 | 4% |
| Earth and Planetary Sciences | 7 | 3% |
| Linguistics | 2 | <1% |
| Other | 14 | 5% |
| Unknown | 27 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 December 2020.
All research outputs
#6,750,519
of 22,665,794 outputs
Outputs from Evolutionary Biology
#129
of 310 outputs
Outputs of similar age
#45,479
of 156,717 outputs
Outputs of similar age from Evolutionary Biology
#5
of 10 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has gotten more attention than average, scoring higher than 58% of its peers.
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We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.