Evidence map›Paper›PMID 35479866›Full record

ArticleRSC advances2021

Rapid and selective detection of aluminum ion using 1,2,3-triazole-4,5-dicarboxylic acid-functionalized gold nanoparticle-based colorimetric sensor.

Shengliang Zhao, Liqiong Chen, Feiyan Liu, Yongyao Fan, Yiheng Liu, Yulai Han, Yunfei Hu, Jingyun Su, Chunyan Song

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

9 authors.

Shengliang ZhaoCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.ORCID https://orcid.org/0000-0003-2982-8525
Liqiong ChenCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.ORCID https://orcid.org/0000-0003-0883-4088
Feiyan LiuCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Yongyao FanCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Yiheng LiuCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Yulai HanCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Yunfei HuCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Jingyun SuCollege of New Materials and New Energies, Shenzhen Technology University Shenzhen Guangdong Province China chenliqiong@sztu.edu.cn.
Chunyan SongAnalysis and Testing Center, Shenzhen Technology University Pingshan District Shenzhen Guangdong Province China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A highly selective, sensitive, rapid, low-cost, simple and visual colorimetric system for Al

Identifiers

PMID35479866
PMCPMC9041113

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.