Quantitative Structure-Property Relationship Analysis for the Prediction of Propylene Adsorption Capacity in Pure Silicon Zeolites at Various Pressure Levels.

Li Zhao, Qi Zhang, Chang He, Qinglin Chen, Bing J Zhang

Abstract read

In one paragraph

Article in ACS omega, 2022. 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

5 authors.

Li ZhaoSchool of Materials Science and Engineering, Guangdong Engineering Center for Petrochemical Energy Conservation, The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province, Sun Yat-sen University, Xiaoguwei Island, Panyu District, Guangzhou, 510006, P. R. China.

Qi ZhangSchool of Materials Science and Engineering, Guangdong Engineering Center for Petrochemical Energy Conservation, The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province, Sun Yat-sen University, Xiaoguwei Island, Panyu District, Guangzhou, 510006, P. R. China.

Chang HeSchool of Materials Science and Engineering, Guangdong Engineering Center for Petrochemical Energy Conservation, The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province, Sun Yat-sen University, Xiaoguwei Island, Panyu District, Guangzhou, 510006, P. R. China.ORCID https://orcid.org/0000-0002-9024-9269

Qinglin ChenSchool of Materials Science and Engineering, Guangdong Engineering Center for Petrochemical Energy Conservation, The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province, Sun Yat-sen University, Xiaoguwei Island, Panyu District, Guangzhou, 510006, P. R. China.

Bing J ZhangSchool of Materials Science and Engineering, Guangdong Engineering Center for Petrochemical Energy Conservation, The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province, Sun Yat-sen University, Xiaoguwei Island, Panyu District, Guangzhou, 510006, P. R. China.ORCID https://orcid.org/0000-0001-9830-9193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is devoted to the development of quantitative structure-property relationship (QSPR) models using various regression analyses to predict propylene (C

Identifiers

PMID36188274

DOI10.1021/acsomega.2c02779

PMCPMC9520561

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.