Evidence map›Paper›PMID 37215753›Full record

ArticleRSC advances2023

Growth of nanostructured Cu

Yuqing Yin, Ting Zhang, Lemeng Feng, Junhui Ran, Chao Ma, Yongwen Tan, Weitao Song, Bin Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2023. 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
1.4field-weighted citation impact, top 19% of its field
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, 11 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Yuqing YinCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.
Ting ZhangCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.
Lemeng FengXiangya Hospital of Central South University Changsha 410008 China wtsong1980@csu.edu.cn.
Junhui RanCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.
Chao MaCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.
Yongwen TanCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.ORCID https://orcid.org/0000-0003-1486-4048
Weitao SongXiangya Hospital of Central South University Changsha 410008 China wtsong1980@csu.edu.cn.
Bin YangCollege of Materials Science and Engineering, Hunan University Changsha 410082 China yangb1@hnu.edu.cn.ORCID https://orcid.org/0000-0002-5667-9126
Hunan University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymatic glucose sensors usually exhibit excellent sensitivity and selectivity but suffer from poor stability due to the negative influence of temperature and humidity on enzyme molecules. As compared to enzymatic glucose sensors, non-enzymatic counterparts are generally more stable but are facing challenges in concurrently improving both sensitivity and selectivity of a trace amount of glucose molecules in physiological samples such as saliva and sweat. Here, a novel non-enzymatic glucose sensor based on nanostructured Cu

Identifiers

PMID37215753
PMCPMC10198095
OpenAlexW4377565120

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.