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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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80 Mendeley
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Article details
Title
Using an integral projection model to assess the effect of temperature on the growth of gilthead seabream Sparus aurata
Published in
PLOS ONE, May 2018
DOI 10.1371/journal.pone.0196092
Pubmed ID
Authors
Abstract

Accurate information on the growth rates of fish is crucial for fisheries stock assessment and management. Empirical life history parameters (von Bertalanffy growth) are widely fitted to cross-sectional size-at-age data sampled from fish populations. This method often assumes that environmental factors affecting growth remain constant over time. The current study utilized longitudinal life history information contained in otoliths from 412 juveniles and adults of gilthead seabream, Sparus aurata, a commercially important species fished and farmed throughout the Mediterranean. Historical annual growth rates over 11 consecutive years (2002-2012) in the Gulf of Lions (NW Mediterranean) were reconstructed to investigate the effect of temperature variations on the annual growth of this fish. S. aurata growth was modelled linearly as the relationship between otolith size at year t against otolith size at the previous year t-1. The effect of temperature on growth was modelled with linear mixed effects models and a simplified linear model to be implemented in a cohort Integral Projection Model (cIPM). The cIPM was used to project S. aurata growth, year to year, under different temperature scenarios. Our results determined current increasing summer temperatures to have a negative effect on S. aurata annual growth in the Gulf of Lions. They suggest that global warming already has and will further have a significant impact on S. aurata size-at-age, with important implications for age-structured stock assessments and reference points used in fisheries.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 13 16%
Student > Master 12 15%
Student > Bachelor 8 10%
Professor > Associate Professor 4 5%
Other 7 9%
Unknown 21 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 27 34%
Environmental Science 16 20%
Biochemistry, Genetics and Molecular Biology 4 5%
Nursing and Health Professions 2 3%
Earth and Planetary Sciences 2 3%
Other 4 5%
Unknown 25 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2018.
All research outputs
#12,932,293
of 23,316,003 outputs
Outputs from PLOS ONE
#102,338
of 199,295 outputs
Outputs of similar age
#153,001
of 327,212 outputs
Outputs of similar age from PLOS ONE
#1,591
of 3,426 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 327,212 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 3,426 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 52% of its contemporaries.