Evidence map›Paper›PMID 34616626›Full record

ArticlePeerJ2021

Mass mortality of pearl oyster (

Tomomasa Matsuyama, Satoshi Miwa, Tohru Mekata, Yuta Matsuura, Tomokazu Takano, Chihaya Nakayasu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Evolutionarily divergent nidovirus with an exceptionally large genome identified in Pacific oysters undergoing mass mortality.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. A high-quality, haplotype-phased genome reconstruction reveals unexpected haplotype diversity in a pearl oyster.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  7. ZooKeys · 2022
    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

6 authors at 1 institution in 1 country.

Tomomasa MatsuyamaFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Satoshi MiwaFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Tohru MekataFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Yuta MatsuuraFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Tomokazu TakanoFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Chihaya NakayasuFish Pathology Department, Aquaculture Research Department, National Research and Development Agency, Japan Fisheries Research and Education Agency, Minami-Ise, Mie Prefecture, Japan.
Japan Fisheries Research and Education Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass mortality of 0-year-old pearl oysters,

Indexed as

AtrophyInfectious diseaseMass mortalityPearl oysterPinctada fucataShell diseaseVirus

Identifiers

PMID34616626
PMCPMC8462378
OpenAlexW3201107844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.