Evidence map›Paper›PMID 40521442›Full record

ArticleACS omega2025

AgOCN Piezoresistive Sensor for Human Motion Signal Detection Based on Electrospinning Method.

He Gong, Hongli Chao, Lingyun Ni, Hang Zhu, Mengchao Chen, Jinghuan Hu, Daming Zhang, Tianli Hu, Yu Sun, Ying Guo and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

He GongCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Hongli ChaoCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.ORCID https://orcid.org/0009-0005-4848-2031
Lingyun NiCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.ORCID https://orcid.org/0009-0003-1257-0879
Hang ZhuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Mengchao ChenCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Jinghuan HuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Daming ZhangCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China.
Tianli HuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Yu SunCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Ying GuoCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Shijun LiCollege of Information Technology, Wuzhou University, Wuzhou 543003, China.
Ye MuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Xiuling YuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible sensors are mainly used in medical treatment, human body signal monitoring, and other fields and are an important part of flexible electronic devices, with high sensitivity, good mechanical properties, and other advantages. However, human signal monitoring devices are often hindered from being put to medical use due to the disadvantages of large size, slow response time, and poor mechanical properties. In this regard, in this paper, by means of electrostatic spinning technology, the composite spinning of polyacrylonitrile,

Identifiers

PMID40521442
PMCPMC12163760

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.