Evidence map›Paper›PMID 36085341›Full record

ArticleNature communications2022

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction.

Haitao Yang, Jiali Li, Xiao Xiao, Jiahao Wang, Yufei Li, Kerui Li, Zhipeng Li, Haochen Yang, Qian Wang, Jie Yang and 6 more

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

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
11.2field-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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Dynamic Calibration of Quartz Flexure Accelerometers.Sensors (Basel, Switzerland) · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

16 authors at 4 institutions in 3 countries.

Haitao Yang *Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.
Jiali Li *Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.
Xiao Xiao *Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0002-1254-5740
Jiahao Wang *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Yufei LiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.
Kerui LiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.
Zhipeng LiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID 0000-0002-8139-2522
Haochen YangDepartment of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, 20740, USA.ORCID 0000-0002-8367-9711
Qian WangDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.
Jie YangDepartment of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117585, Singapore.ORCID 0000-0002-1472-198X
John S HoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID 0000-0002-9458-9033
Po-Len YehRealtek, Singapore, 609930, Singapore.
Koen MouthaanDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Xiaonan WangDepartment of Chemical Engineering, Tsinghua University, 100084, Beijing, China.ORCID 0000-0001-9775-2417
Sahil ShahDepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20740, USA. sshah389@umd.edu.ORCID 0000-0001-7403-2388
Po-Yen ChenDepartment of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, 20740, USA. checp@umd.edu.ORCID 0000-0003-0310-4748
National University of Singapore · SGUniversity of Maryland, College Park · USSouthern University of Science and Technology · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable strain sensors that detect joint/muscle strain changes become prevalent at human-machine interfaces for full-body motion monitoring. However, most wearable devices cannot offer customizable opportunities to match the sensor characteristics with specific deformation ranges of joints/muscles, resulting in suboptimal performance. Adequate wearable strain sensor design is highly required to achieve user-designated working windows without sacrificing high sensitivity, accompanied with real-time data processing. Herein, wearable Ti

Indexed as

AccelerometryMachine LearningRange of Motion, ArticularWearable Electronic DevicesHumansMotion

Identifiers

PMID36085341
PMCPMC9461448
OpenAlexW4295441317

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.