ArticleScientific reports2025
Exploring entropy measures in polymer graphs using logarithmic regression model.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Machine learning-based regression analysis of cyclopentane and cyclohexane molecular graphs.Scientific reports · 2026Article
- Comparative entropy analysis of 2D transition metal tetrahydroxyquinones via machine learning approaches.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graph Entropies, calculated from indices, quantify the structural information of chemical linkages and graphs using Shannon's Entropy notion. This study investigates the chemical structures of polyester and polycarbonate polymers. Polyesters are synthetic polymers consisting of repeating chemical units linked by covalent bonds formed through ester groups. They are versatile materials found in a wide range of everyday products. In contrast, polycarbonates are thermoplastic polymers characterized by carbonate groups. Renowned for their strength and toughness, polycarbonates are widely used in engineering applications. In this study, we compute the Zagreb indices, redefined Zagreb indices, atom-bond connectivity index, and geometric-arithmetic index for polymer structures using edge partitioning based on degrees. Furthermore, we calculate Entropy measures for these structures using Shannon's Entropy notion. Through numerical computations, we compare the topological indices with their corresponding Entropy measures. Finally, we employ a regression model to analyze the relationship between these topological indices and Entropy metrics.
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.