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Acoustic telemetry and fisheries management

Overview of attention for article published in Ecological Applications, May 2017
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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18 X users

Citations

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243 Dimensions

Readers on

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415 Mendeley
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Title
Acoustic telemetry and fisheries management
Published in
Ecological Applications, May 2017
DOI 10.1002/eap.1533
Pubmed ID
Authors

Glenn T. Crossin, Michelle R. Heupel, Christopher M. Holbrook, Nigel E. Hussey, Susan K. Lowerre‐Barbieri, Vivian M. Nguyen, Graham D. Raby, Steven J. Cooke

Abstract

This paper reviews the use of acoustic telemetry as a tool for addressing issues in fisheries management, and serves as the lead to the special Feature Issue of Ecological Applications titled "Acoustic Telemetry and Fisheries Management". Specifically, we provide an overview of the ways in which acoustic telemetry can be used to inform issues central to the ecology, conservation, and management of exploited and/or imperiled fish species. Despite great strides in this area in recent years, there are comparatively few examples where data have been applied directly to influence fisheries management and policy. We review the literature on this issue, identify the strengths and weaknesses of work done to date, and highlight knowledge gaps and difficulties in applying empirical fish telemetry studies to fisheries policy and practice. We then highlight the key areas of management and policy addressed, as well as the challenges that needed to be overcome to do this. We conclude with a set of recommendations about how researchers can, in consultation with stock assessment scientists and managers, formulate testable scientific questions to address and design future studies to generate data that can be used in a meaningful way by fisheries management and conservation practitioners. We also urge the involvement of relevant stakeholders (managers, fishers, conservation societies, etc.) early on in the process (i.e. in the co-creation of research projects), so that all priority questions and issues can be addressed effectively. This article is protected by copyright. All rights reserved.

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X Demographics

The data shown below were collected from the profiles of 18 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 415 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Unknown 414 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 85 20%
Researcher 76 18%
Student > Ph. D. Student 56 13%
Student > Bachelor 35 8%
Other 14 3%
Other 45 11%
Unknown 104 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 145 35%
Environmental Science 102 25%
Earth and Planetary Sciences 12 3%
Engineering 7 2%
Biochemistry, Genetics and Molecular Biology 4 <1%
Other 23 6%
Unknown 122 29%
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 08 June 2017.
All research outputs
#3,549,091
of 25,083,571 outputs
Outputs from Ecological Applications
#880
of 3,350 outputs
Outputs of similar age
#60,957
of 316,474 outputs
Outputs of similar age from Ecological Applications
#18
of 44 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has gotten more attention than average, scoring higher than 73% 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 316,474 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 80% of its contemporaries.
We're also able to compare this research output to 44 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.