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Self‐compatibility is over‐represented on islands

Overview of attention for article published in New Phytologist, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
14 X users
facebook
2 Facebook pages

Readers on

mendeley
174 Mendeley
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Article details
Title
Self‐compatibility is over‐represented on islands
Published in
New Phytologist, April 2017
DOI 10.1111/nph.14534
Pubmed ID
Authors
Abstract

Because establishing a new population often depends critically on finding mates, individuals capable of uniparental reproduction may have a colonization advantage. Accordingly, there should be an over-representation of colonizing species in which individuals can reproduce without a mate, particularly in isolated locales such as oceanic islands. Despite the intuitive appeal of this colonization filter hypothesis (known as Baker's law), more than six decades of analyses have yielded mixed findings. We assembled a dataset of island and mainland plant breeding systems, focusing on the presence or absence of self-incompatibility. Because this trait enforces outcrossing and is unlikely to re-evolve on short timescales if it is lost, breeding system is especially likely to reflect the colonization filter. We found significantly more self-compatible species on islands than mainlands across a sample of > 1500 species from three widely distributed flowering plant families (Asteraceae, Brassicaceae and Solanaceae). Overall, 66% of island species were self-compatible, compared with 41% of mainland species. Our results demonstrate that the presence or absence of self-incompatibility has strong explanatory power for plant geographical patterns. Island floras around the world thus reflect the role of a key reproductive trait in filtering potential colonizing species in these three plant families.

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X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
Spain 1 <1%
Denmark 1 <1%
Unknown 170 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 40 23%
Student > Ph. D. Student 26 15%
Student > Master 23 13%
Student > Doctoral Student 12 7%
Student > Bachelor 11 6%
Other 26 15%
Unknown 36 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 92 53%
Environmental Science 19 11%
Biochemistry, Genetics and Molecular Biology 10 6%
Computer Science 3 2%
Immunology and Microbiology 2 1%
Other 5 3%
Unknown 43 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 16 July 2018.
All research outputs
#1,566,438
of 34,329,868 outputs
Outputs from New Phytologist
#1,059
of 12,343 outputs
Outputs of similar age
#23,237
of 354,705 outputs
Outputs of similar age from New Phytologist
#15
of 127 outputs
Altmetric has tracked 34,329,868 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 91% 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 354,705 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 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.