Evidence map›Paper›PMID 30974757›Full record

ReviewSensors (Basel, Switzerland)2019

3D Printed Sensors for Biomedical Applications: A Review.

Tao Han, Sudip Kundu, Anindya Nag, Yongzhao Xu

Open access · goldAbstract readReview
In one paragraph

Review 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 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
16.7field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 255 citations in OpenAlex.

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  17. Recent Advances in Scaffolds for Guided Bone Regeneration.Biomimetics (Basel, Switzerland) · 2024
    Review
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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

4 authors at 2 institutions in 2 countries.

Tao HanDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China. hant@dgut.edu.cn.ORCID 0000-0002-8422-9288
Sudip KunduCSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal 713209, India. sudip.skundu.94@gmail.com.
Anindya NagDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China. anindya1991@gmail.com.
Yongzhao XuDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China. xuyz@dgut.edu.cn.
Dongguan University of Technology · CNCentral Mechanical Engineering Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper showcases a substantial review on some of the significant work done on 3D printing of sensors for biomedical applications. The importance of 3D printing techniques has bloomed in the sensing world due to their essential advantages of quick fabrication, easy accessibility, processing of varied materials and sustainability. Along with the introduction of the necessity and influence of 3D printing techniques for the fabrication of sensors for different healthcare applications, the paper explains the individual methodologies used to develop sensing prototypes. Six different 3D printing techniques have been explained in the manuscript, followed by drawing a comparison between them in terms of their advantages, disadvantages, materials being processed, resolution, repeatability, accuracy and applications. Finally, a conclusion of the paper is provided with some of the challenges of the current 3D printing techniques about the developed sensing prototypes, their corresponding remedial solutions and a market survey determining the expenditure on 3D printing for biomedical sensing prototypes.

Indexed as

Biomedical ResearchBiosensing TechniquesHumansPrinting, Three-Dimensional3D printed sensorsdigital light processingfused deposition modellinginkjetpolyjetselective laser sinteringstereolithography

Identifiers

PMID30974757
PMCPMC6480222
OpenAlexW2939978610

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.