ReviewEntropy (Basel, Switzerland)2021
Entropy: From Thermodynamics to Information Processing.
Review in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Quantifying Knowledge Production Efficiency with Thermodynamics: A Data-Driven Study of Scientific Concepts.Entropy (Basel, Switzerland) · 2025Article
- Entropy in Clinical Decision-Making: A Narrative Review Through the Lens of Decision Theory.Journal of general internal medicine · 2025Review
- Generalized Derangetropy Functionals for Modeling Cyclical Information Flow.Entropy (Basel, Switzerland) · 2025Article
- Residential land structure affects residential welfare: Linear and non-linear effects.iScience · 2024Article
- The Role of Thermodynamic and Informational Entropy in Improving Real Estate Valuation Methods.Entropy (Basel, Switzerland) · 2023Article
- Non-Monotonic Complexity of Stochastic Model of the Channel Gating Dynamics.Entropy (Basel, Switzerland) · 2023Article
- Logical Entropy of Information Sources.Entropy (Basel, Switzerland) · 2022Article
- MCMCINLA Estimation of Missing Data and Its Application to Public Health Development in China in the Post-Epidemic Era.Entropy (Basel, Switzerland) · 2022Article
- Bayesian Multi-Targets Strategy to TrackInsects · 2022Article
- The Use of the Statistical Entropy in Some New Approaches for the Description of Biosystems.Entropy (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Entropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution. However, there was an unprecedented scientific revolution in the 20th century due to one of its most essential innovations, i.e., the information theory, which also encompasses the concept of entropy. Therefore, the following question is naturally raised: "what is the difference, if any, between concepts of entropy in each field of knowledge?" There are misconceptions, as there have been multiple attempts to conciliate the entropy of thermodynamics with that of information theory. Entropy is most commonly defined as "disorder", although it is not a good analogy since "order" is a subjective human concept, and "disorder" cannot always be obtained from entropy. Therefore, this paper presents a historical background on the evolution of the term "entropy", and provides mathematical evidence and logical arguments regarding its interconnection in various scientific areas, with the objective of providing a theoretical review and reference material for a broad audience.
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.