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Large scale, synchronous variability of marine fish populations driven by commercial exploitation

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2016
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

policy
2 policy sources
twitter
17 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
117 Mendeley
Title
Large scale, synchronous variability of marine fish populations driven by commercial exploitation
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2016
DOI 10.1073/pnas.1602325113
Pubmed ID
Authors

Kenneth T. Frank, Brian Petrie, William C. Leggett, Daniel G. Boyce

Abstract

Synchronous variations in the abundance of geographically distinct marine fish populations are known to occur across spatial scales on the order of 1,000 km and greater. The prevailing assumption is that this large-scale coherent variability is a response to coupled atmosphere-ocean dynamics, commonly represented by climate indexes, such as the Atlantic Multidecadal Oscillation and North Atlantic Oscillation. On the other hand, it has been suggested that exploitation might contribute to this coherent variability. This possibility has been generally ignored or dismissed on the grounds that exploitation is unlikely to operate synchronously at such large spatial scales. Our analysis of adult fishing mortality and spawning stock biomass of 22 North Atlantic cod (Gadus morhua) stocks revealed that both the temporal and spatial scales in fishing mortality and spawning stock biomass were equivalent to those of the climate drivers. From these results, we conclude that greater consideration must be given to the potential of exploitation as a driving force behind broad, coherent variability of heavily exploited fish species.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 29 25%
Student > Master 14 12%
Professor > Associate Professor 6 5%
Student > Doctoral Student 5 4%
Other 14 12%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 50%
Environmental Science 21 18%
Earth and Planetary Sciences 3 3%
Business, Management and Accounting 2 2%
Physics and Astronomy 2 2%
Other 6 5%
Unknown 24 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 February 2021.
All research outputs
#1,919,397
of 22,880,230 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#24,140
of 98,457 outputs
Outputs of similar age
#37,072
of 355,070 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#389
of 870 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one has done well, scoring higher than 75% 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 355,070 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 89% of its contemporaries.
We're also able to compare this research output to 870 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 55% of its contemporaries.