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Evidence of discrete yellowfin tuna (Thunnus albacares) populations demands rethink of management for this globally important resource

Overview of attention for article published in Scientific Reports, November 2015
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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)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
2 policy sources
twitter
2 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Evidence of discrete yellowfin tuna (Thunnus albacares) populations demands rethink of management for this globally important resource
Published in
Scientific Reports, November 2015
DOI 10.1038/srep16916
Pubmed ID
Authors

P. M. Grewe, P. Feutry, P. L. Hill, R. M. Gunasekera, K. M. Schaefer, D. G. Itano, D. W. Fuller, S. D. Foster, C. R. Davies

Abstract

Tropical tuna fisheries are central to food security and economic development of many regions of the world. Contemporary population assessment and management generally assume these fisheries exploit a single mixed spawning population, within ocean basins. To date population genetics has lacked the required power to conclusively test this assumption. Here we demonstrate heterogeneous population structure among yellowfin tuna sampled at three locations across the Pacific Ocean (western, central, and eastern) via analysis of double digest restriction-site associated DNA using Next Generation Sequencing technology. The differences among locations are such that individuals sampled from one of the three regions examined can be assigned with close to 100% accuracy demonstrating the power of this approach for providing practical markers for fishery independent verification of catch provenance in a way not achieved by previous techniques. Given these results, an extended pan-tropical survey of yellowfin tuna using this approach will not only help combat the largest threat to sustainable fisheries (i.e. illegal, unreported, and unregulated fishing) but will also provide a basis to transform current monitoring, assessment, and management approaches for this globally significant species.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 2%
New Zealand 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Master 23 18%
Student > Ph. D. Student 22 18%
Student > Doctoral Student 7 6%
Student > Bachelor 5 4%
Other 20 16%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 46%
Biochemistry, Genetics and Molecular Biology 14 11%
Environmental Science 13 10%
Social Sciences 4 3%
Earth and Planetary Sciences 4 3%
Other 10 8%
Unknown 23 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 February 2021.
All research outputs
#2,255,122
of 18,750,173 outputs
Outputs from Scientific Reports
#19,151
of 100,543 outputs
Outputs of similar age
#50,446
of 382,037 outputs
Outputs of similar age from Scientific Reports
#664
of 3,564 outputs
Altmetric has tracked 18,750,173 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 100,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 80% 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 382,037 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 3,564 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.