Evidence map›Paper›PMID 38567330›Full record

ArticleRSC advances2024

UV-assisted synthesis of ultra-small GO-Austar for efficient PTT therapeutic architectonic construction.

Ang Gao, Lijia Pei, Guan Liu, Yunsheng Chen, Amin Zhang, Daxiang Cui

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 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
0.6field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Ang GaoInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, School of Sensing Science and Engineering, Shanghai Jiao Tong University Shanghai 200240 P. R. China zhangamin@sjtu.edu.cn dxcui@sjtu.edu.cn.
Lijia PeiDepartment of Orthopedics, The First Affiliated Hospital of Bengbu Medical College Bengbu City Anhui Province P. R. China.
Guan LiuInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, School of Sensing Science and Engineering, Shanghai Jiao Tong University Shanghai 200240 P. R. China zhangamin@sjtu.edu.cn dxcui@sjtu.edu.cn.
Yunsheng ChenRadiology Department of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine 197 Ruijin Second Road Shanghai 200025 China.
Amin ZhangInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, School of Sensing Science and Engineering, Shanghai Jiao Tong University Shanghai 200240 P. R. China zhangamin@sjtu.edu.cn dxcui@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-8006-4615
Daxiang CuiInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, School of Sensing Science and Engineering, Shanghai Jiao Tong University Shanghai 200240 P. R. China zhangamin@sjtu.edu.cn dxcui@sjtu.edu.cn.ORCID https://orcid.org/0000-0003-4513-905X
Shanghai Jiao Tong University · CNFirst Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional Au nanomaterial synthesis typically necessitates the involvement of extensive surfactants and reducing agents, leading to a certain amount of chemical waste and biological toxicity. In this study, we innovatively employed ultra-small graphene oxide as a reducing agent and surfactant for the

Identifiers

PMID38567330
PMCPMC10986164
OpenAlexW4393633453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.