Evidence map›Paper›PMID 38214862›Full record

ReviewEnvironmental science and pollution research international2024

A latest progress in the study of fish behavior: cross-generational effects of behavior under pollution pressure and new technologies for behavior monitoring.

Jian-Xue Feng, Ping Li, Yuan Liu, Ling Liu, Zhi-Hua Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2024. 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.

Jian-Xue FengMarine College, Shandong University, Weihai, 264209, Shandong, China.
Ping LiMarine College, Shandong University, Weihai, 264209, Shandong, China.
Yuan LiuMarine College, Shandong University, Weihai, 264209, Shandong, China.
Ling LiuMarine College, Shandong University, Weihai, 264209, Shandong, China.
Zhi-Hua LiMarine College, Shandong University, Weihai, 264209, Shandong, China. lizh@sdu.edu.cn.

Funding

National Natural Science Foundation of China 42277269
6 · The paper itself

Abstract

With the development of agriculture and industry, an increasing number of pollutants are being discharged into the aquatic environment. These pollutants can harm aquatic life. The behavioral characteristics of animals are an external manifestation of their internal mechanisms. Changes in behavior reflect damage and changes in the internal mechanisms. Environmental pollution may lead to behavioral changes not only in the parental generation but also in the offspring that has not been exposed to the pollutants. That is, the intrinsic mechanism that leads to behavioral changes is inheritable. Fish are representative species of aquatic organisms and are commonly used in various research studies. The behavior of fish has also received extensive attention, and the monitoring technology for fish behavior has developed rapidly. This article summarizes the development process of behavior monitoring technology and introduces some of the latest technologies for studying fish behavior. This article also summarizes the intergenerational effects of pollutants on fish behavior, as well as the potential intrinsic and genetic mechanisms that may lead to behavioral changes. This article provides a reference for future relevant neurobehavioral studies.

Indexed as

Environmental PollutantsWater Pollutants, ChemicalAgricultureAnimalsEnvironmental PollutionFishesEnvironmental PollutantsWater Pollutants, ChemicalAquatic vertebrate modelsMechanisms of cross-generationalMonitoring techniquesNeurobehavior

Identifiers

What OpenQuestion holds

Textmetadata
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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.