Evidence map›Paper›PMID 38006153›Full record

ArticlePolymers2023

Oriented Three-Dimensional Skeletons Assembled by Si

Baokai Wang, Shiqin Wan, Mengyang Niu, Mengyi Li, Chang Yu, Zheng Zhao, Weiwei Xuan, Ming Yue, Wenbin Cao, Qi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2023. 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

10 authors.

Baokai WangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Shiqin WanSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Mengyang NiuSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Mengyi LiSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-7493-6878
Chang YuSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Zheng ZhaoSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Weiwei XuanSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Ming YueSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Wenbin CaoSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Qi WangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

Interdisciplinary Research Project for Young Teachers of USTB (Fundamental Research Funds for the Central Universities) No. FRF-IDRY-22-022National Natural Science Foundation of China No. U20A20241, No 52372077Young Elite Scientists Sponsorship No. 2022QNRC001
6 · The paper itself

Abstract

With the miniaturization of current electronic products, ceramic/polymer composites with excellent thermal conductivity have become of increasing interest. Traditionally, higher filler fractions are required to obtain a high thermal conductivity, but this leads to a decrease in the mechanical properties of the composites and increases the cost. In this study, silicon nitride nanowires (Si

Indexed as

ice template methodsilicon nitride nanowiresthermal conductivitythermal interface materials

Identifiers

PMID38006153
PMCPMC10675432

What OpenQuestion holds

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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.