Evidence map›Paper›PMID 37939314›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Fine-Tuning X-Ray Sensitivity in Organic-Inorganic Hybrids via an Unprecedented Mixed-Ligand Strategy.

Huangjie Lu, Zhaofa Zheng, Huiliang Hou, Yaoyao Bai, Jie Qiu, Jian-Qiang Wang, Jian Lin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Huangjie LuShanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jia Luo Road, Shanghai, 201800, P. R. China.
Zhaofa ZhengShanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jia Luo Road, Shanghai, 201800, P. R. China.
Huiliang HouShanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jia Luo Road, Shanghai, 201800, P. R. China.
Yaoyao BaiSchool of Nuclear Science and Technology, Xi'an Jiaotong University, No.28, West Xianning Road, Xi'an, 710049, P. R. China.
Jie QiuSchool of Nuclear Science and Technology, Xi'an Jiaotong University, No.28, West Xianning Road, Xi'an, 710049, P. R. China.
Jian-Qiang WangShanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jia Luo Road, Shanghai, 201800, P. R. China.
Jian LinSchool of Nuclear Science and Technology, Xi'an Jiaotong University, No.28, West Xianning Road, Xi'an, 710049, P. R. China.ORCID https://orcid.org/0000-0002-3536-220X

Funding

National Natural Science Foundation of China 22076152National Natural Science Foundation of China 22076196National Natural Science Foundation of China 22206196National Natural Science Foundation of China 22276147National Natural Science Foundation of China U1967219National Natural Science Foundation of China U22B20139Shanghai Sailing Program 21YF1456200
6 · The paper itself

Abstract

Crystalline organic-inorganic hybrids, which exhibit colorimetric responses to ionizing radiation, have recently been recognized as promising alternatives to conventional X-ray dosimeters. However, X-ray-responsive organic-inorganic hybrids are scarce and the strategy to fine-tune their detection sensitivity remains elusive. Herein, an unprecedented mixed-ligand strategy is reported to modulate the X-ray detection efficacy of organic-inorganic hybrids. Deliberately blending the stimuli-responsive terpyridine carboxylate ligand (tpc

Indexed as

fluorochromic nanoclustersmixed-ligandphotochromic responsesradiation detectionthorium

Identifiers

PMID37939314
PMCPMC10767407

What OpenQuestion holds

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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.