Evidence map›Paper›PMID 41422074›Full record

ArticleNature communications2025

Gradient chaotropic regulation of Zn

Sinian Yang, Shunshun Zhao, Haojie Xu, Xinwei Wang, Xuanrui Huang, Qi Yang, Yong Chen, Guoxiu Wang, Shimou Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Sinian Yang *State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Shunshun Zhao *State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Haojie XuState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Xinwei WangState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Xuanrui HuangState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Qi YangState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China.
Yong ChenCentre for Clean Energy Technology, School of Mathematical and Physical Science, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia. Yong.chen@student.uts.edu.au.ORCID http://orcid.org/0000-0003-1515-7708
Guoxiu WangCentre for Clean Energy Technology, School of Mathematical and Physical Science, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia. Guoxiu.Wang@uts.edu.au.ORCID http://orcid.org/0000-0003-4295-8578
Shimou ChenState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, P.R. China. chensm@buct.edu.cn.ORCID http://orcid.org/0000-0002-2533-4010

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52425207, 52171198Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L245007
6 · The paper itself

Abstract

Aqueous zinc-ion batteries have emerged as a promising system for safe and sustainable energy storage. However, their practical application is hindered by detrimental interfacial side reactions and inadequate low-temperature performance. Herein, we report the design of a gradient chaotropic ionic liquid (IL)-based aqueous electrolyte (Emim⁺-TFA⁻/OTf⁻-Zn

Identifiers

PMID41422074
PMCPMC12820182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.