Evidence map›Paper›PMID 33396229›Full record

ReviewBrain sciences2020

A Bibliometric Insight of Genetic Factors in ASD: Emerging Trends and New Developments.

Kang Wang, Weicheng Duan, Yijie Duan, Yuxin Yu, Xiuyi Chen, Yinhui Xu, Haihong Chen, Hongzhi Huang, Bo Xiong

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Decoding the genetic landscape of autism: A comprehensive review.World journal of clinical pediatrics · 2024
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Progress and Research Trends onFrontiers in pharmacology · 2021
    Article
  7. 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

9 authors at 2 institutions in 1 country.

Kang WangDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID 0000-0003-3535-2973
Weicheng DuanDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yijie DuanDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yuxin YuThe First Clinical College, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Xiuyi ChenKey Laboratory of Environment and Health (HUST), Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yinhui XuThe First Clinical College, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Haihong ChenSchool of Health Policy & Management, Nanjing Medical University, Nanjing 211166, China.
Hongzhi HuangDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Bo XiongDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Huazhong University of Science and Technology · CNNanjing Medical University · CN

Funding

National Natural Science Foundation of China 81721005National Natural Science Foundation of China 81971084
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) cases have increased rapidly in recent decades, which is associated with various genetic abnormalities. To provide a better understanding of the genetic factors in ASD, we assessed the global scientific output of the related studies. A total of 2944 studies published between 1997 and 2018 were included by systematic retrieval from the Web of Science (WoS) database, whose scientific landscapes were drawn and the tendencies and research frontiers were explored through bibliometric methods. The United States has been acting as a leading explorer of the field worldwide in recent years. The rapid development of high-throughput technologies and bioinformatics transferred the research method from the traditional classic method to a big data-based pipeline. As a consequence, the focused research area and tendency were also changed, as the contribution of de novo mutations in ASD has been a research hotspot in the past several years and probably will remain one into the near future, which is consistent with the current opinions of the major etiology of ASD. Therefore, more attention and financial support should be paid to the deciphering of the de novo mutations in ASD. Meanwhile, the effective cooperation of multi-research centers and scientists in different fields should be advocated in the next step of scientific research undertaken.

Indexed as

ASDbibliometricgeneticsquantitative analysisresearch frontiers

Identifiers

PMID33396229
PMCPMC7824688
OpenAlexW3116913023

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.