Evidence map›Paper›PMID 42751363›Full record

ArticleChemical science2026

Electric-field-driven CO

Haizhong Zhang, Xiaojing Chen, Chao Zhu, Qile Fang, Linbo Qian, Zaiming Chen, Renlan Liu, Shasha Liu, Shuang Song, Yi Shen

Abstract read
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

10 authors.

Haizhong ZhangZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.
Xiaojing ChenZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.
Chao ZhuZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.ORCID https://orcid.org/0000-0002-0971-7951
Qile FangAdvanced Institute of Natural Sciences, Beijing Normal University Zhuhai 519087 China.
Linbo QianInstitute of Soil Science, Chinese Academy of Sciences Nanjing 211135 China.
Zaiming ChenSchool of Environmental Science and Engineering, Zhejiang Gongshang University Hangzhou 310012 China.ORCID https://orcid.org/0000-0001-5133-0067
Renlan LiuCollege of Life and Environmental Science, Wenzhou University Wenzhou 325035 China.
Shasha LiuZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.
Shuang SongZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.ORCID https://orcid.org/0000-0001-8033-6839
Yi ShenZhejiang Key Laboratory of Low-carbon Control Technology for Industrial Pollution, College of Environment, Zhejiang University of Technology Hangzhou 310014 China shenyi@zjut.edu.cn +86-571-88320276 +86-571-88320726.ORCID https://orcid.org/0000-0001-8977-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrocatalytic CO

Identifiers

PMID42751363
PMCPMC13579531

What OpenQuestion holds

Textmetadata
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.