ArticleMolecules (Basel, Switzerland)2020
A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 28 citations in OpenAlex.
- Artificial intelligence in food safety.NPJ science of food · 2026Review
- Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models.International journal of microbiology · 2024Review
- Article
- Ecological risk assessment of aquatic organisms induced by heavy metals in the estuarine waters of the Pearl River.Scientific reports · 2023Article
- An Analytical Framework on Utilizing Various Integrated Multi-Trophic Scenarios for Basil Production.Plants (Basel, Switzerland) · 2023Article
- Cadmium Accumulation and Depuration in the Muscle of Prussian Carp (Animals : an open access journal from MDPI · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.