Evidence map›Paper›PMID 40897680›Full record

ArticleJournal of fish biology2025

Assessing metabolic rate and post-tagging recovery in juvenile fish.

Oscar D P Notman-Grobler, Paris M B Mastrodimitropoulos, Alessandro Bevilacqua, Robert J Lennox, Hugo Flávio

Abstract read
In one paragraph

Article in Journal of fish biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Oscar D P Notman-GroblerDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0007-7692-1702
Paris M B MastrodimitropoulosDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0005-1788-6973
Alessandro BevilacquaDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0004-9431-3127
Robert J LennoxDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-1010-0577
Hugo FlávioDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-5174-1197

Funding

Canada Foundation for InnovationCanada Nature Fund for Aquatic Species at Risk (Gulf Region)Nova Scotia Freshwater Fisheries Research Cooperative
6 · The paper itself

Abstract

Juvenile fish play a crucial role in the health of aquatic ecosystems, serving both as the foundation for future adult populations and as a valuable food source. Studying the juvenile life stage of fish using acoustic telemetry is inherently challenging due to their small size and associated difficulties in tracking and data collection. Recent advances in telemetry, including the miniaturization of tags, have enabled researchers to investigate previously understudied size classes of fish. Tagging fish can introduce sublethal effects that alter their physiology and behaviour, ultimately biasing the collected data; this effect is exacerbated in smaller-bodied fish, which are generally more sensitive to tagging procedures. Our study tested whether tagging juvenile brook trout (Salvelinus fontinalis) of two size classes (10-12 and 13-16 cm fork length, n = 80) with a LOTEK JSATS PinTag (0.22 g, mean tag burden 1.11% of body mass, range 0.54-2.00%) impacted their oxygen consumption rates (

Indexed as

Animal Identification SystemsBasal MetabolismTroutAnimalsOxygen ConsumptionTelemetryacoustic telemetryaquatic respirometrysalmonidssublethal effects

Identifiers

PMID40897680
PMCPMC12861838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.