Evidence map›Paper›PMID 41048790›Full record

ArticleACS omega2025

AI-Optimized Quantitative RINEPT (AIOQ-RINEPT) 1D

Shan Ye, Xuelei Duan, Youlin Xia, Aitor Moreno, Rongjuan Cong, Fuyue Tian, Yu Zhou, Lin Liu, Yue Yu, Peiqian Yu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Applications and Advances of Liquid-StateMolecules (Basel, Switzerland) · 2026
    Review
  2. Review
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

15 authors.

Shan YeNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.ORCID https://orcid.org/0000-0001-9814-4771
Xuelei DuanNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Youlin XiaDepartment of Structural Biology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States.
Aitor MorenoBruker Switzerland AG, Fällanden CH-8117, Switzerland.
Rongjuan CongNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Fuyue TianNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Yu ZhouNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Lin LiuNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Yue YuNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.ORCID https://orcid.org/0000-0002-7520-0547
Peiqian YuNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Linfeng ChenNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Shuai ShaoNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Congyun LiuNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Linge MaNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.
Zhe ZhouNational Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China.ORCID https://orcid.org/0000-0003-0869-2112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyolefins, which are vital materials in a wide range of industries, demand accurate and rapid microstructural analysis to enhance and optimize their performance characteristics. Triad sequence distributions are widely used to evaluate critical parameters, including comonomer content, monomer number-average sequence length, and the blockiness Koenig B value. While conventional algebraic methods for determining these values often lack accuracy, this study presents a more precise approach based on matrix operations. Traditional quantitative

Identifiers

PMID41048790
PMCPMC12489647

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.