Linear model based on neighborhood ABS index for graph energy in benzenoid hydrocarbons and maximum index cactus graphs.

Zheng-Qing Chu, Mohammed Yasin H, M Suresh, Micheal Arockiaraj

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zheng-Qing ChuGeneral Education Department, Anhui Xinhua University, Hefei, People's Republic of China.

Mohammed Yasin HDepartment of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, India. hmdyasin761@gmail.com.

M SureshDepartment of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, India.

Micheal ArockiarajDepartment of Mathematics, Loyola College, Chennai, 600034, India. marockiaraj@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The atom-bond-sum (ABS) connectivity index, developed by integrating the degree information from the atom-bond and sum connectivity indices, has attracted significant attention for its effectiveness in correlating thermodynamic properties of chemical structures. We study the ABS index by capturing the neighborhood degree information of atoms and its relationship to the π-electron energy in a dataset of alternant benzenoid hydrocarbons, revealing a strong correlation of 0.999. Moreover, graphs with the maximum index generally correspond to molecules with high stability or desired reactivity. Therefore, we aim to identify and describe the unique cactus graph that achieves the maximum neighborhood ABS index for a fixed number of cycles and pendent vertices, providing insights into structural features and highlighting the significance of the neighborhood ABS index in molecular chemistry.

Indexed as

Atom-bond connectivity indexCactus graphsGraph energySum connectivity index

Identifiers

PMID40764300

DOI10.1038/s41598-025-06629-y

PMCPMC12325711

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.