Evidence map›Paper›PMID 36985010›Full record

ReviewMicromachines2023

Recent Advances in Nanomaterials Used for Wearable Electronics.

Minye Yang, Zhilu Ye, Yichong Ren, Mohamed Farhat, Pai-Yen Chen

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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  4. Article
  5. Review
  6. Article
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  8. Review
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

5 authors.

Minye YangDepartment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID 0000-0002-4659-7063
Zhilu YeDepartment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID 0000-0002-0017-6722
Yichong RenDepartment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Mohamed FarhatDivision of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0003-0351-4309
Pai-Yen ChenDepartment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, thriving Internet of Things (IoT) technology has had a profound impact on people's lifestyles through extensive information interaction between humans and intelligent devices. One promising application of IoT is the continuous, real-time monitoring and analysis of body or environmental information by devices worn on or implanted inside the body. This research area, commonly referred to as wearable electronics or wearables, represents a new and rapidly expanding interdisciplinary field. Wearable electronics are devices with specific electronic functions that must be flexible and stretchable. Various novel materials have been proposed in recent years to meet the technical challenges posed by this field, which exhibit significant potential for use in different wearable applications. This article reviews recent progress in the development of emerging nanomaterial-based wearable electronics, with a specific focus on their flexible substrates, conductors, and transducers. Additionally, we discuss the current state-of-the-art applications of nanomaterial-based wearable electronics and provide an outlook on future research directions in this field.

Indexed as

flexible substrateshealthcare monitoringnanomaterialssoft conductorswearable sensors

Identifiers

PMID36985010
PMCPMC10053072

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.