Evidence map›Paper›PMID 39203629›Full record

ArticleMicromachines2024

First-Principles Insights into Highly Sensitive and Reusable MoS

Jiayin Wu, Zongbao Li, Tongle Liang, Qiuyan Mo, Jingting Wei, Bin Li, Xiaobo Xing

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jiayin WuDepartment of Engineering Technology, Guangdong Open University, Guangzhou 510091, China.ORCID 0000-0001-8179-3345
Zongbao LiMinistry of Education Key Laboratory of Textile Fiber Products, School of Materials Science and Engineering, Wuhan Textile University, Wuhan 430220, China.
Tongle LiangSchool of Artificial Intelligence, Guangdong Vocational College of Post and Telecom, Guangzhou 510630, China.
Qiuyan MoBig Data Engineering College, Kaili University, Kaili 556011, China.
Jingting WeiDepartment of Engineering Technology, Guangdong Open University, Guangzhou 510091, China.
Bin LiDepartment of Engineering Technology, Guangdong Open University, Guangzhou 510091, China.
Xiaobo XingCentre for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.

Funding

2019 Annual School-level Research Project of Guangdong Open University (Guangdong Poly-technic Institute) ZD1905Key Research Platform and Research Project of General Colleges and Universities in Guangdong Province 2022KTSCX289Key Research Platform and Research Project of General Colleges and Universities in Guangdong Province 2023ZDZX1069National Natural Science Foundation of China 22269019School-level planning project of KaiLi School 2022ZD05
6 · The paper itself

Abstract

This study explores the potential of MoS

Indexed as

DFTheavy metalMoS2 monolayerNEGFsensitivity

Identifiers

PMID39203629
PMCPMC11355996

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.