Predicting the

Ping Wang, Dongxiong Hu, Linling Lu, Yilin Zhao, Jingbo Chen, Paul W Ayers, Shubin Liu, Dongbo Zhao

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2025. 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.

Predicting the Redox Potentials and Hammett Parameters of Quinone Derivatives with the Information-Theoretic Approach.Entropy (Basel, Switzerland) · 2026
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

8 authors.

Ping WangKey Laboratory of High Performance Scientific Computation, School of Science, Xihua University, Chengdu 610039, China.

Dongxiong HuSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming 650500, China.

Linling LuKey Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education, Institute of Biomedical Research, School of Chemical Science and Technology, Yunnan University, Kunming 650500, China.

Yilin ZhaoDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.

Jingbo ChenKey Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education, Institute of Biomedical Research, School of Chemical Science and Technology, Yunnan University, Kunming 650500, China.

Paul W AyersDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.ORCID 0000-0003-2605-3883

Shubin LiuResearch Computing Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0001-9331-0427

Dongbo ZhaoKey Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education, Institute of Biomedical Research, School of Chemical Science and Technology, Yunnan University, Kunming 650500, China.ORCID 0000-0002-0927-4361

Funding

National Natural Science Foundation of China 22203071National Natural Science Foundation of China 22361051

6 · The paper itself

Abstract

Employing some simple physics-inspired density-based information-theoretic approach (ITA) quantities to predict the electron correlation energies remains an open challenge. In this work, we expand the scope of the LR(ITA) (LR means linear regression) protocol to more complex systems, including (i) 24 octane isomers; (ii) polymeric structures, polyyne, polyene, all-

Indexed as

electron correlation energygeneralized energy-based fragmentation (GEBF)information-theoretic approachmolecular clusterspolymers

Identifiers

PMID40942028

DOI10.3390/molecules30173500

PMCPMC12430394

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.