Evidence map›Paper›PMID 30046930›Full record

ArticleGenetica2018

Mixing rates in weakly differentiated stocks of greater amberjack (Seriola dumerili) in the Gulf of Mexico.

John S Hargrove, Debra J Murie, Daryl C Parkyn, Emily V Saarinen, James D Austin

Abstract read
PubMed Publisher
In one paragraph

Article in Genetica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

John S HargroveDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-8643-7822
Debra J MurieProgram in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA.
Daryl C ParkynProgram in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA.
Emily V SaarinenDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.
James D AustinDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA. austinj@ufl.edu.ORCID http://orcid.org/0000-0003-0643-8620
University of Florida · US

Funding

National Oceanic and Atmospheric Administration NA07NMF4540076
6 · The paper itself

Abstract

The greater amberjack (Seriola dumerili) is a commercially and recreationally important marine fish species in the southeastern United States, where it has been historically managed as two non-mixing stocks (Gulf of Mexico and Atlantic). Mark-recapture studies and analysis of mitochondrial DNA have suggested the two stocks are demographically independent; however, little is currently known about when and where spawning occurs in Gulf of Mexico amberjack, and whether stock mixture occurs on breeding grounds. The primary objective of this study was to quantify stock mixture among breeding populations of amberjack collected from the Atlantic and Gulf of Mexico. Genetic data based on 11 loci identified very low, though statistically significant differentiation among Gulf of Mexico samples (G

Indexed as

Animal Population GroupsAnimalsAtlantic OceanBayes TheoremBreedingCluster AnalysisDemographyDNA, MitochondrialGenetics, PopulationGenetic VariationGulf of AmericaMicrosatellite RepeatsPerciformesPhylogeographyQuantitative Trait LociReproductionDNA, MitochondrialAdmixtureCarangidaeGreater amberjackGulf of MexicoMicrosatelliteStock mixingWestern Atlantic Ocean

Identifiers

PMID30046930
OpenAlexW2884016038

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.