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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting patterns of species diversification in the presence of both rate shifts and mass extinctions
|
|---|---|
| Published in |
BMC Ecology and Evolution, August 2015
|
| DOI | 10.1186/s12862-015-0432-z |
| Pubmed ID | |
| Authors |
Sacha Laurent, Marc Robinson-Rechavi, Nicolas Salamin |
| Abstract |
Recent methodological advances allow better examination of speciation and extinction processes and patterns. A major open question is the origin of large discrepancies in species number between groups of the same age. Existing frameworks to model this diversity either focus on changes between lineages, neglecting global effects such as mass extinctions, or focus on changes over time which would affect all lineages. Yet it seems probable that both lineages differences and mass extinctions affect the same groups. Here we used simulations to test the performance of two widely used methods under complex scenarios of diversification. We report good performances, although with a tendency to over-predict events with increasing complexity of the scenario. Overall, we find that lineage shifts are better detected than mass extinctions. This work has significance to assess the methods currently used to estimate changes in diversification using phylogenetic trees. Our results also point toward the need to develop new models of diversification to expand our capabilities to analyse realistic and complex evolutionary scenarios. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| Switzerland | 2 | 11% |
| Spain | 1 | 6% |
| Norway | 1 | 6% |
| Canada | 1 | 6% |
| Austria | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 50% |
| Members of the public | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 2% |
| France | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Student > Bachelor | 12 | 21% |
| Researcher | 11 | 19% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 44% |
| Environmental Science | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Earth and Planetary Sciences | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 2015.
All research outputs
#1,851,785
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#445
of 3,714 outputs
Outputs of similar age
#23,487
of 275,908 outputs
Outputs of similar age from BMC Ecology and Evolution
#14
of 79 outputs
Altmetric has tracked 25,374,647 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 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 88% 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 275,908 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 91% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.