Evidence map›Paper›PMID 35630127›Full record

ArticleMicromachines2022

Monolayer MoS

Dandan Xu, Ling Duan, Suyun Yan, Yong Wang, Ke Cao, Weidong Wang, Hongcheng Xu, Yuejiao Wang, Liangwei Hu, Libo Gao

Abstract read
In one paragraph

Article in Micromachines, 2022. 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. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
  2. Review
  3. Article
  4. High-performance HRSC advances · 2024
    Article
  5. Review
  6. Article
  7. Article
  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

10 authors.

Dandan XuSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Ling DuanSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Suyun YanSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Yong WangSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an 710171, China.
Ke CaoSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.ORCID 0000-0001-7857-4467
Weidong WangSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.ORCID 0000-0003-1713-7890
Hongcheng XuSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Yuejiao WangSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Liangwei HuSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.
Libo GaoSchool of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.

Funding

Fundamental Research Funds for the Central Universities JB210407, JB210409funding of Natural Science Foundation of Shaanxi Province 2021JQ-181National Natural Science Foundation of China 61904141the Key Research and Development Program of Shaanxi 2021GY-277the Young Talent fund of University Association for Science and Technology in Shaanxi 20210508
6 · The paper itself

Abstract

Flexible pressure sensors play an important role in flexible robotics, human-machine interaction (HMI), and human physiological information. However, most of the reported flexible pressure sensors suffer from a highly nonlinear response and a significant decrease in sensitivity at high pressures. Herein, we propose a flexible novel iontronic pressure sensor based on monolayer molybdenum disulfide (MoS

Indexed as

flexible electronicsflexible sensoriontronic pressure sensorMoS2wearable sensor

Identifiers

PMID35630127
PMCPMC9146476

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.