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Comparative Phylogeography in Fijian Coral Reef Fishes: A Multi-Taxa Approach towards Marine Reserve Design

Overview of attention for article published in PLOS ONE, October 2012
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
26 X users
facebook
1 Facebook page

Citations

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37 Dimensions

Readers on

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129 Mendeley
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Title
Comparative Phylogeography in Fijian Coral Reef Fishes: A Multi-Taxa Approach towards Marine Reserve Design
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047710
Pubmed ID
Authors

Joshua A. Drew, Paul H. Barber

Abstract

Delineating barriers to connectivity is important in marine reserve design as they describe the strength and number of connections among a reserve's constituent parts, and ultimately help characterize the resilience of the system to perturbations at each node. Here we demonstrate the utility of multi-taxa phylogeography in the design of a system of marine protected areas within Fiji. Gathering mtDNA control region data from five species of coral reef fish in five genera and two families, we find a range of population structure patterns, from those experiencing little (Chrysiptera talboti, Halichoeres hortulanus, and Pomacentrus maafu), to moderate (Amphiprion barberi, Φ(st) = 0.14 and Amblyglyphidodon orbicularis Φ(st) = 0.05) barriers to dispersal. Furthermore estimates of gene flow over ecological time scales suggest species-specific, asymmetric migration among the regions within Fiji. The diversity among species-specific results underscores the limitations of generalizing from single-taxon studies, including the inability to differentiate between a species-specific result and a replication of concordant phylogeographic patterns, and suggests that greater taxonomic coverage results in greater resolution of community dynamics within Fiji. Our results indicate that the Fijian reefs should not be managed as a single unit, and that closely related species can express dramatically different levels of population connectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Tanzania, United Republic of 1 <1%
Indonesia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Peru 1 <1%
Mexico 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 119 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 26%
Researcher 27 21%
Student > Master 17 13%
Student > Bachelor 13 10%
Other 10 8%
Other 18 14%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 61%
Environmental Science 18 14%
Biochemistry, Genetics and Molecular Biology 4 3%
Social Sciences 3 2%
Earth and Planetary Sciences 2 2%
Other 7 5%
Unknown 16 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 17 September 2017.
All research outputs
#1,700,525
of 25,885,956 outputs
Outputs from PLOS ONE
#20,761
of 225,808 outputs
Outputs of similar age
#10,973
of 203,640 outputs
Outputs of similar age from PLOS ONE
#370
of 4,907 outputs
Altmetric has tracked 25,885,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 90% 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 203,640 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 94% of its contemporaries.
We're also able to compare this research output to 4,907 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.