Evidence map›Paper›PMID 37581520›Full record

ArticleCurrent neuropharmacology2024

A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression.

Zi Zhang, Ye Yang, Wan Kong, Shanqing Huang, Yaqian Tan, Shanshan Huang, Ming Zhang, Haoyang Lu, Yuhua Li, Xiaolin Li and 3 more

Open access · greenAbstract read
In one paragraph

Article in Current neuropharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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

13 authors at 1 institution in 1 country.

Zi ZhangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Ye YangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Wan KongDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Shanqing HuangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Yaqian TanDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Shanshan HuangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Ming ZhangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Haoyang LuDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Yuhua LiDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Xiaolin LiDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Shujing LiuDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Yuguan WenDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Dewei ShangDepartment of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Guangzhou Medical University · CN

Funding

Guangzhou Municipal Science and Technology Project for Medicine and Healthcare 20211A011044Medical Health Science and Technology Project of Guangzhou 20221A011050Science and Technology Plan Project of Guangdong Province 2019B030316001
6 · The paper itself

Abstract

backgroundGenetic polymorphism has been proven to have an important association with depression, which can influence the risk of developing depression, the efficacy of medications, and adverse effects

objectiveThe aim of this study was to analyze the current status and trends of single nucleotide polymorphism research on depression through bibliometric and visual analysis.

methodsThe Web of Science Core Collection was used to retrieve 10,043 articles that were published between 1998 and 2021. CiteSpace (6.1 R4) was used to perform collaborative network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection.

resultsThe most productive and co-cited journals were the Journal of Affective Disorders and Biological Psychiatry, respectively, and an analysis of the references showed that the most recent research focused on the largest thematic cluster, "5-HT", reflecting the important research base in this area. "

conclusionThese findings offer a useful perspective on existing research and potential future approaches in the study of the association between single nucleotide polymorphisms and depression, which may assist researchers in selecting appropriate collaborators or journals.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPolymorphism, Single NucleotideBibliometricsDepressionDNA MethylationHumansbibliometricscitespaceDepressiongenespolymorphism.SNP

Identifiers

PMID37581520
PMCPMC10788886
OpenAlexW4385827894

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.