Evidence map›Paper›PMID 38173574›Full record

ArticleRSC advances2024

Highly bright solid-state carbon dots for efficient anticounterfeiting.

Weihua Li, Yuanyuan Han, Lihua Wang, Gurpreet Singh Selopal, Xiaohan Wang, Haiguang Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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
1.3field-weighted citation impact, top 18% 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, 11 citations in OpenAlex.

  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

6 authors at 1 institution in 2 countries.

Weihua LiCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.
Yuanyuan HanCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.
Lihua WangCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.
Gurpreet Singh SelopalCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.
Xiaohan WangCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.
Haiguang ZhaoCollege of Textiles and Clothes, College of Physics, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University No. 308 Ningxia Road Qingdao 266071 P. R. China xh_wang@qdu.edu.cn hgzhao@qdu.edu.cn.ORCID https://orcid.org/0000-0003-1057-9522
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon dots (C-dots) as promising fluorescent materials have attracted much attention because of their low toxicity and excellent optoelectronic properties. However, the aggregation-caused quenching (ACQ) of the solid-state C-dots has limited their potential applications in anti-counterfeiting and optoelectronic devices. In this work, C-dot powder was prepared by directly dispersing the as-prepared C-dots in a polymer matrix or

Identifiers

PMID38173574
PMCPMC10758757
OpenAlexW4390506611

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.