Evidence map›Paper›PMID 31238594›Full record

ArticleSensors (Basel, Switzerland)2019

Facile Non-Enzymatic Electrochemical Sensing for Glucose Based on Cu

Zhikuang Dai, Ailing Yang, Xichang Bao, Renqiang Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

4 authors.

Zhikuang DaiDepartment of Physics, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong, China. dzkwymailbox@163.com.
Ailing YangDepartment of Physics, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong, China. ailingy@ouc.edu.cn.
Xichang BaoQingdao Institute of Bioenergy & Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266100, Shandong, China. baoxc@qibebt.ac.cn.
Renqiang YangQingdao Institute of Bioenergy & Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266100, Shandong, China. yangrq@qibebt.ac.cn.

Funding

National Natural Science Foundation of China 41877499
6 · The paper itself

Abstract

Transition-metal nanomaterials are very important to non-enzymatic glucose sensing because of their excellent electrocatalytic ability, good selectivity, the fact that they are not easily interfered with by chloride ion (Cl

Indexed as

ElectrodesBiosensing TechniquesCarbonCopperElectrochemical TechniquesGlucoseNanoparticlesSerum Albumin, BovineCarbonCoppercuprous oxideGlucoseSerum Albumin, Bovineanti-interferencechronoamperometryCu2O–BSA nanoparticlescyclic voltammetrynon-enzymatic glucose sensing

Identifiers

PMID31238594
PMCPMC6631518

What OpenQuestion holds

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LicenceCC BY
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.