Evidence map›Paper›PMID 42764277›Full record

ArticleNature communications2026

Low-coordinated CuNi dual-atom catalyst for efficient flue gas CO

Junying Tang, Qingshan Wang, Mingchu Ran, Xuping Wei, Mingyang Liu, Yuxuan Ma, Feiyi Zhou, Jiongran Lv, Li Xu, Guiqing Bai and 4 more

Abstract read
In one paragraph

Article in Nature communications, 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

14 authors.

Junying Tang *College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China.
Qingshan Wang *College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China.
Mingchu Ran *State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0004-1031-9880
Xuping WeiSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Mingyang LiuCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China.
Yuxuan MaSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Feiyi ZhouState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.
Jiongran LvCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China.
Li XuState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.
Guiqing BaiSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Ruitang GuoCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China. grta@zju.edu.cn.ORCID http://orcid.org/0000-0002-5646-5099
Xiao ZhangState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China. zhangx_energy@zju.edu.cn.ORCID http://orcid.org/0000-0002-0342-3282
Xiang GaoState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China. xgao1@zju.edu.cn.ORCID http://orcid.org/0000-0002-1732-2132
Weiguo PanCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China. panweiguo@shiep.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52306263Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 23ZR1424500
6 · The paper itself

Abstract

Efficient photoreduction of flue gas CO

Identifiers

PMID42764277
PMCPMC13590652

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.