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Microevolutionary processes impact macroevolutionary patterns

Overview of attention for article published in BMC Ecology and Evolution, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 blog
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14 X users

Citations

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38 Dimensions

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130 Mendeley
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Title
Microevolutionary processes impact macroevolutionary patterns
Published in
BMC Ecology and Evolution, August 2018
DOI 10.1186/s12862-018-1236-8
Pubmed ID
Authors

Jingchun Li, Jen-Pen Huang, Jeet Sukumaran, L. Lacey Knowles

Abstract

Macroevolutionary modeling of species diversification plays important roles in inferring large-scale biodiversity patterns. It allows estimation of speciation and extinction rates and statistically testing their relationships with different ecological factors. However, macroevolutionary patterns are ultimately generated by microevolutionary processes acting at population levels, especially when speciation and extinction are considered protracted instead of point events. Neglecting the connection between micro- and macroevolution may hinder our ability to fully understand the underlying mechanisms that drive the observed patterns. In this simulation study, we used the protracted speciation framework to demonstrate that distinct microevolutionary scenarios can generate very similar biodiversity patterns (e.g., latitudinal diversity gradient). We also showed that current macroevolutionary models may not be able to distinguish these different scenarios. Given the compounded nature of speciation and extinction rates, one needs to be cautious when inferring causal relationships between ecological factors and macroevolutioanry rates. Future studies that incorporate microevolutionary processes into current modeling approaches are in need.

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X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 20%
Student > Ph. D. Student 24 18%
Researcher 15 12%
Student > Master 13 10%
Student > Doctoral Student 11 8%
Other 12 9%
Unknown 29 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 41%
Biochemistry, Genetics and Molecular Biology 20 15%
Environmental Science 7 5%
Earth and Planetary Sciences 3 2%
Engineering 2 2%
Other 9 7%
Unknown 36 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 January 2022.
All research outputs
#2,433,633
of 25,385,509 outputs
Outputs from BMC Ecology and Evolution
#617
of 3,714 outputs
Outputs of similar age
#47,894
of 341,333 outputs
Outputs of similar age from BMC Ecology and Evolution
#12
of 53 outputs
Altmetric has tracked 25,385,509 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 83% 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 341,333 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 85% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.