Evidence map›Paper›PMID 38487225›Full record

ArticleChemical science2024

Amorphous-crystalline RuTi nanosheets enhancing OH species adsorption for efficient hydrogen oxidation catalysis.

Licheng Wei, Nan Fang, Fei Xue, Shangheng Liu, Wei-Hsiang Huang, Chih-Wen Pao, Zhiwei Hu, Yong Xu, Hongbo Geng, Xiaoqing Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemical science, 2024. 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. Review
  2. Layered NaNature communications · 2025
    Article
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.

Licheng WeiState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China hxq006@xmu.edu.cn.
Nan FangState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China hxq006@xmu.edu.cn.
Fei XueState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China hxq006@xmu.edu.cn.
Shangheng LiuState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China hxq006@xmu.edu.cn.
Wei-Hsiang HuangNational Synchrotron Radiation Research Center 101 Hsin-Ann Road Hsinchu 30076 Taiwan.
Chih-Wen PaoNational Synchrotron Radiation Research Center 101 Hsin-Ann Road Hsinchu 30076 Taiwan.
Zhiwei HuMax Planck Institute for Chemical Physics of Solids Nothnitzer Strasse 40 Dresden 01187 Germany.
Yong Xui-Lab Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS) 398 Ruoshui Road Suzhou 215123 China.ORCID https://orcid.org/0000-0002-2525-7086
Hongbo GengSchool of Materials Engineering, Changshu Institute of Technology Changshu 215500 China.ORCID https://orcid.org/0000-0003-3216-546X
Xiaoqing HuangState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China hxq006@xmu.edu.cn.ORCID https://orcid.org/0000-0003-3219-4316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anion exchange membrane fuel cells are a potentially cost-effective energy conversion technology, however, the electrocatalyst for the anodic hydrogen oxidation reaction (HOR) suffers from sluggish kinetics under alkaline conditions. Herein, we report that Ru-based nanosheets with amorphous-crystalline heterointerfaces of Ru and Ti-doped RuO

Identifiers

PMID38487225
PMCPMC10935717

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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.