Evidence map›Paper›PMID 32698465›Full record

ArticleSensors (Basel, Switzerland)2020

High-Sensitivity, Quantified, Linear and Mediator-Free Resonator-Based Microwave Biosensor for Glucose Detection.

Alok Kumar, Cong Wang, Fan-Yi Meng, Zhong-Liang Zhou, Meng Zhao, Guo-Feng Yan, Eun-Seong Kim, Nam-Young Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 62 citations in OpenAlex.

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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 4 institutions in 2 countries.

Alok KumarSchool of Information and Communication, Harbin Institute of Technology, Harbin 150001, China.
Cong WangSchool of Information and Communication, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-2863-0309
Fan-Yi MengSchool of Information and Communication, Harbin Institute of Technology, Harbin 150001, China.
Zhong-Liang ZhouSchool of Information and Communication, Harbin Institute of Technology, Harbin 150001, China.
Meng ZhaoSchool of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou 215009, China.
Guo-Feng YanResearch Center for Smart Sensing, Zhejiang Lab, Hangzhou 310000, China.
Eun-Seong KimDepartment of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea.ORCID 0000-0002-2440-9228
Nam-Young KimDepartment of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea.ORCID 0000-0003-4264-2928
Harbin Institute of Technology · CNKwangwoon University · KRSuzhou University of Science and Technology · CNZhejiang Lab · CN

Funding

Heilongjiang Postdoctoral Science Foundation LBH-Z17056National Natural Science Foundation of China 51502186National Research Foundation of Korea 2018R1A6A1A03025242National Research Foundation of Korea 2018R1D1A1A09083353Natural Science Foundation of Zhejiang Province 2020MC2GD01Postdoctoral Science Foundation of Jiangsu Province 2017M611367Qianjiang Talent Plan of Zhejiang Province 2020MC2GE01Zhejiang Lab 2019MC0AB03Zhejiang Lab 2019MC0AD01
6 · The paper itself

Abstract

This article presents a high-sensitivity, quantified, linear, and mediator-free resonator-based microwave biosensor for glucose sensing application. The proposed biosensor comprises an air-bridge-type asymmetrical differential inductor (

Indexed as

Biosensing TechniquesMicrowavesBlood GlucoseElectricityFingersHumansReproducibility of ResultsBlood Glucoseelectric fieldfilling factorglucose detectionmicrowave biosensor

Identifiers

PMID32698465
PMCPMC7412357
OpenAlexW3042481855

What OpenQuestion holds

Textmetadata
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.