Evidence map›Paper›PMID 41942465›Full record

ArticleNature communications2026

Scalable Ni‑driven synthesis of Pt single‑site catalysts for hydrogen evolution.

Huijing Ma, Haifei Wang, Chengcheng Cai, Hongyu Song, Qianqing Guo, Xia Long, Xufang Qian, Yixin Zhao

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. 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. 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

8 authors.

Huijing MaState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Haifei WangState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chengcheng CaiState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0001-8349-3039
Hongyu SongState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Qianqing GuoState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0007-4211-4427
Xia LongChina-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, China. x.long@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-9705-1589
Xufang QianState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China. qianxufang@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-6761-0127
Yixin ZhaoState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China. yixin.zhao@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-8663-9993

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22025505
6 · The paper itself

Abstract

Low-platinum-loading electrocatalysts, offering both high activity and durability under practical conditions, are essential for sustainable hydrogen production. Here we report a scalable synthesis of a platinum single-site catalyst supported on Ni-N-doped carbon nanotubes, achieved via a facile Ni-driven one-step reduction-displacement of Pt

Identifiers

PMID41942465
PMCPMC13234152

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.