Predictors of citation rates for research publications in Neurosciences

IF 1.2 4区医学 Q4 CLINICAL NEUROLOGY

Neurosciences Pub Date : 2022-04-01 DOI:10.17712/nsj.2022.2.20210145

H. Jamjoom, Abdulhadi Y. Gahtani, A. Jamjoom

{"title":"Predictors of citation rates for research publications in Neurosciences","authors":"H. Jamjoom, Abdulhadi Y. Gahtani, A. Jamjoom","doi":"10.17712/nsj.2022.2.20210145","DOIUrl":null,"url":null,"abstract":"Objectives: To identify the predictors of citation rates for research publication in Neurosciences. Methods: All original articles including meta-analyses (MAs) and systematic reviews (SRs) that were published in Neurosciences during 2011 to 2019 were reviewed. The impact of several predictors on citation rates was assessed using correlation coefficient and mean difference tests. Results: This study examined 231 articles. The mean article citation number was 11.6. The correlation analysis showed a significant association between citation rates and duration from publication in years (p<0.0001), sample size (p<0.0001), study design (p=0.0353), and level of evidence (LOE) (p=0.03). The comparative analysis showed significantly more citations for articles that were published 6-10 years ago (p<0.0001), had a sample size >91 (p=0.0359), were randomized controlled trials (p=0.0353), MAs and SRs (p<0.0001), and level of evidence (LOE)-I (p=0.0004). Retrospective case series had significantly lower citations. The higher and lower citation numbers for publications from Iran and rehabilitation, respectively, may have been influenced by the duration from publication. Conclusion: The most significant predictors of citation rates for Neurosciences publications were the age of articles, population size, study design, and LOE. Awareness of the predictors of citation rates may help researchers enhance the academic impact of their work.","PeriodicalId":19284,"journal":{"name":"Neurosciences","volume":"27 1","pages":"116 - 120"},"PeriodicalIF":1.2000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurosciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.17712/nsj.2022.2.20210145","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}

引用次数: 2

Abstract

Objectives: To identify the predictors of citation rates for research publication in Neurosciences. Methods: All original articles including meta-analyses (MAs) and systematic reviews (SRs) that were published in Neurosciences during 2011 to 2019 were reviewed. The impact of several predictors on citation rates was assessed using correlation coefficient and mean difference tests. Results: This study examined 231 articles. The mean article citation number was 11.6. The correlation analysis showed a significant association between citation rates and duration from publication in years (p<0.0001), sample size (p<0.0001), study design (p=0.0353), and level of evidence (LOE) (p=0.03). The comparative analysis showed significantly more citations for articles that were published 6-10 years ago (p<0.0001), had a sample size >91 (p=0.0359), were randomized controlled trials (p=0.0353), MAs and SRs (p<0.0001), and level of evidence (LOE)-I (p=0.0004). Retrospective case series had significantly lower citations. The higher and lower citation numbers for publications from Iran and rehabilitation, respectively, may have been influenced by the duration from publication. Conclusion: The most significant predictors of citation rates for Neurosciences publications were the age of articles, population size, study design, and LOE. Awareness of the predictors of citation rates may help researchers enhance the academic impact of their work.

查看原文本刊更多论文

神经科学研究出版物引用率的预测因子

目的:确定神经科学期刊研究论文被引率的预测因子。方法:回顾2011 - 2019年在《神经科学》杂志上发表的所有原创文章，包括meta分析(MAs)和系统评价(SRs)。利用相关系数和均差检验评估了几种预测因子对被引率的影响。结果:本研究检查了231篇文章。平均被引次数为11.6次。相关分析显示，引文率与发表年限(p91 (p=0.0359)、随机对照试验(p=0.0353)、MAs和SRs (p<0.0001)以及证据水平(LOE)- 1 (p=0.0004)之间存在显著相关。回顾性病例系列的引用率明显较低。分别来自伊朗和康复的出版物的较高和较低的引用数可能受到出版时间的影响。结论:神经科学出版物的引用率最显著的预测因子是文章的年龄、人口规模、研究设计和LOE。了解引文率的预测因子可以帮助研究人员提高其工作的学术影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Neurosciences 医学-临床神经学

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

4.5 months

期刊介绍： Neurosciences is an open access, peer-reviewed, quarterly publication. Authors are invited to submit for publication articles reporting original work related to the nervous system, e.g., neurology, neurophysiology, neuroradiology, neurosurgery, neurorehabilitation, neurooncology, neuropsychiatry, and neurogenetics, etc. Basic research withclear clinical implications will also be considered. Review articles of current interest and high standard are welcomed for consideration. Prospective workshould not be backdated. There are also sections for Case Reports, Brief Communication, Correspondence, and medical news items. To promote continuous education, training, and learning, we include Clinical Images and MCQ’s. Highlights of international and regional meetings of interest, and specialized supplements will also be considered. All submissions must conform to the Uniform Requirements.