Evidence map›Paper›PMID 41321717›Full record

ArticleChemical science2026

Programmed intralayer Co and interlayer Ni atoms in a covalent organic framework for synergistic CO

Jie-Yu Yue, Rui-Zhi Zhang, Xi Chen, Chengcheng Liu, Peng Yang, Bo Tang

Abstract read
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In one paragraph

Article in Chemical science, 2026. 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

6 authors.

Jie-Yu YueKey Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University Jinan 250014 P. R. China yuejieyu@sdnu.edu.cn yangpeng@sdnu.edu.cn tangb@sdnu.edu.cn.
Rui-Zhi ZhangKey Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University Jinan 250014 P. R. China yuejieyu@sdnu.edu.cn yangpeng@sdnu.edu.cn tangb@sdnu.edu.cn.
Xi ChenInstitute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University Qingdao 266237 P. R. China.
Chengcheng LiuInstitute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University Qingdao 266237 P. R. China.ORCID https://orcid.org/0000-0003-2504-4627
Peng YangKey Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University Jinan 250014 P. R. China yuejieyu@sdnu.edu.cn yangpeng@sdnu.edu.cn tangb@sdnu.edu.cn.ORCID https://orcid.org/0000-0002-8752-336X
Bo TangKey Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University Jinan 250014 P. R. China yuejieyu@sdnu.edu.cn yangpeng@sdnu.edu.cn tangb@sdnu.edu.cn.ORCID https://orcid.org/0000-0002-8712-7025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The atom programming of multiple active centers is a central goal in advanced catalysis, yet it remains a formidable challenge, particularly for complex transformations like CO

Identifiers

PMID41321717
PMCPMC12658560

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Registered trials

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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.