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Identification of genetically and oceanographically distinct blooms of jellyfish

Overview of attention for article published in Journal of The Royal Society Interface, March 2013
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 blog
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5 X users

Citations

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58 Dimensions

Readers on

mendeley
133 Mendeley
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2 CiteULike
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Title
Identification of genetically and oceanographically distinct blooms of jellyfish
Published in
Journal of The Royal Society Interface, March 2013
DOI 10.1098/rsif.2012.0920
Pubmed ID
Authors

Patricia L. M. Lee, Michael N Dawson, Simon P. Neill, Peter E. Robins, Jonathan D. R. Houghton, Thomas K. Doyle, Graeme C. Hays

Abstract

Reports of nuisance jellyfish blooms have increased worldwide during the last half-century, but the possible causes remain unclear. A persistent difficulty lies in identifying whether blooms occur owing to local or regional processes. This issue can be resolved, in part, by establishing the geographical scales of connectivity among locations, which may be addressed using genetic analyses and oceanographic modelling. We used landscape genetics and Lagrangian modelling of oceanographic dispersal to explore patterns of connectivity in the scyphozoan jellyfish Rhizostoma octopus, which occurs en masse at locations in the Irish Sea and northeastern Atlantic. We found significant genetic structure distinguishing three populations, with both consistencies and inconsistencies with prevailing physical oceanographic patterns. Our analyses identify locations where blooms occur in apparently geographically isolated populations, locations where blooms may be the source or result of migrants, and a location where blooms do not occur consistently and jellyfish are mostly immigrant. Our interdisciplinary approach thus provides a means to ascertain the geographical origins of jellyfish in outbreaks, which may have wide utility as increased international efforts investigate jellyfish blooms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Spain 3 2%
United States 2 2%
France 1 <1%
Brazil 1 <1%
Unknown 123 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 29%
Researcher 34 26%
Student > Master 16 12%
Student > Bachelor 13 10%
Other 6 5%
Other 15 11%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 56%
Environmental Science 22 17%
Biochemistry, Genetics and Molecular Biology 8 6%
Earth and Planetary Sciences 7 5%
Engineering 2 2%
Other 4 3%
Unknown 15 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 November 2017.
All research outputs
#3,022,235
of 22,691,736 outputs
Outputs from Journal of The Royal Society Interface
#1,076
of 3,048 outputs
Outputs of similar age
#26,123
of 194,884 outputs
Outputs of similar age from Journal of The Royal Society Interface
#18
of 47 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 64% 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 194,884 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 86% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.