Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 337

The DOI matches its Crossref record.

New Paradigms to Help Solve the Global Aquaculture Disease Crisis

Open access
Stentiford, Grant D., Sritunyalucksana, Kallaya, Flegel, Timothy W., Williams, Bryony A. P., Withyachumnarnkul, Boonsirm, Itsathitphaisarn, Orn, Bass, David·2017·PLOS Pathogens

Abstract

The authors (GDS, KS) acknowledge funding administered by the British Council under the Newton Fund Researcher Links Programme, for a UK-Thailand bilateral workshop entitled Scientific, technological and social solutions for sustainable aquaculture in Thailand: a key player in global aquatic food supply, Bangkok, March 2016. Further funding support is acknowledged from the European Commission (EC) and the UK Department for Environment, Food and Rural Affairs (Defra) under contracts C6928 and FB002 (to GDS and DB); from the Royal Society under a University Research Fellowship (to BAPW); and to the Agricultural Research Development Agency (ARDA) and National Research Council of Thailand (NRCT) (to KS, TWF, and OI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.ppat.1006160

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 337

Metadata

Authors
Stentiford, G. D., Sritunyalucksana, K., Flegel, T. W., Williams, B. A. P., Withyachumnarnkul, B., Itsathitphaisarn, O., & Bass, D.
Venue
PLOS Pathogens
Published
2017-02-02
Volume
13
Issue
2
Pages
e1006160
ISSN
  • 1553-7366 (ISSN-L)
  • 1553-7374
OpenAlex
W2583927791
Cited by
337
References
0
FWCI
10.36
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: New Paradigms to Help Solve the Global Aquaculture Disease Crisis. https://app.cochat.ai/papers/10.1371/journal.ppat.1006160
The paper
Stentiford, G. D., Sritunyalucksana, K., Flegel, T. W., Williams, B. A. P., Withyachumnarnkul, B., Itsathitphaisarn, O., & Bass, D. (2017). New Paradigms to Help Solve the Global Aquaculture Disease Crisis. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1006160

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.