Porous nitrogen-doped reduced graphene oxide-supported CuO@Cu

Qing Wei, Ling Wu, Meiwen Zhu, Zhipeng Wang, Zheng-Hong Huang, Ming-Xi Wang

Abstract read

In one paragraph

Article in iScience, 2023. 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.

Interfacial Engineering of Ni-C/Ni-O-C Bonds in Carbon Nanotube Composites for High-Performance Non-Enzymatic Glucose Detection in Complex Beverage Matrices.Molecules (Basel, Switzerland) · 2026
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

6 authors.

Qing WeiKey Laboratory of Biomass-based Materials for Environment and Energy in Petroleum & Chemical Industries, School of Chemical and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Ling WuHubei Province Key Laboratory of Coal Conversion and New Carbon Materials, School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

Meiwen ZhuChongqing Academy of Metrology and Quality Inspection, Chongqing 401123, People's Republic of China.

Zhipeng WangInstitute of Advanced Materials, Jiangxi Normal University, 99 Ziyang Avenue, Nanchang 330022, China.

Zheng-Hong HuangLab of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China.

Ming-Xi WangKey Laboratory of Biomass-based Materials for Environment and Energy in Petroleum & Chemical Industries, School of Chemical and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constructing high-performance enzyme-free biosensors for detecting glucose is essential to preliminary diabetes diagnosis. Here, copper oxide nanoparticles (CuO@Cu

Indexed as

Applied sciencesNanomaterialsSensor

Identifiers

PMID36879815

DOI10.1016/j.isci.2023.106155

PMCPMC9984959

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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.