科学合作的多样性是否影响文章的影响力?

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hou Jianhua, Yuyao He, Conglin Ye, Zhuomalamu, Suolanglamu, Song Haoyang
{"title":"科学合作的多样性是否影响文章的影响力?","authors":"Hou Jianhua, Yuyao He, Conglin Ye, Zhuomalamu, Suolanglamu, Song Haoyang","doi":"10.1177/01655515231182067","DOIUrl":null,"url":null,"abstract":"This study attempts to investigate the relationship between scientific collaboration variety and scientific output in a specific field. The indicators were set from co-author variety (co-author’s academic background variety and co-author’s network structure variety as independent variables) and article impact (academic impact and social impact as dependent variables). Considering other factors affecting the research results, we also set up control variables (the number of co-authors, proportion of high-level authors and ratio of highly productive authors). We used the Scopus database as the data source and collected all articles published in the dental field in 2018 as data. We used multiple linear regression analyses to examine the impact of co-authors’ variety on the article impact. The results demonstrate that the relationship between scientific collaboration variety and article impact is complicated, which depends on the type of variety of the cooperative scientist. Conversely, the same variety indicator presents the same results as the correlation analysis of academic and social impact articles. The findings indicate that authors can improve their scientific output by collaborating with similar authors of academic backgrounds or stable groups of authors, which provides guidance for scientific cooperation.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does scientific collaboration variety influence the impact of articles?\",\"authors\":\"Hou Jianhua, Yuyao He, Conglin Ye, Zhuomalamu, Suolanglamu, Song Haoyang\",\"doi\":\"10.1177/01655515231182067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study attempts to investigate the relationship between scientific collaboration variety and scientific output in a specific field. The indicators were set from co-author variety (co-author’s academic background variety and co-author’s network structure variety as independent variables) and article impact (academic impact and social impact as dependent variables). Considering other factors affecting the research results, we also set up control variables (the number of co-authors, proportion of high-level authors and ratio of highly productive authors). We used the Scopus database as the data source and collected all articles published in the dental field in 2018 as data. We used multiple linear regression analyses to examine the impact of co-authors’ variety on the article impact. The results demonstrate that the relationship between scientific collaboration variety and article impact is complicated, which depends on the type of variety of the cooperative scientist. Conversely, the same variety indicator presents the same results as the correlation analysis of academic and social impact articles. The findings indicate that authors can improve their scientific output by collaborating with similar authors of academic backgrounds or stable groups of authors, which provides guidance for scientific cooperation.\",\"PeriodicalId\":54796,\"journal\":{\"name\":\"Journal of Information Science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1177/01655515231182067\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/01655515231182067","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

本研究试图探讨特定领域的科学协作多样性与科学产出之间的关系。指标由合著者的多样性(以合著者的学术背景多样性和网络结构多样性为自变量)和文章影响(以学术影响和社会影响为因变量)设定。考虑到影响研究结果的其他因素,我们还设置了控制变量(合著者数量、高水平作者比例和高产作者比例)。我们使用Scopus数据库作为数据源,并收集了2018年在牙科领域发表的所有文章作为数据。我们使用多元线性回归分析来检验合著者的多样性对文章影响的影响。结果表明,科学合作品种与文章影响之间的关系是复杂的,这取决于合作科学家的品种类型。相反,相同的多样性指标呈现出与学术和社会影响文章的相关性分析相同的结果。研究结果表明,作者可以通过与学术背景相似的作者或稳定的作者群体合作来提高他们的科学产出,这为科学合作提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does scientific collaboration variety influence the impact of articles?
This study attempts to investigate the relationship between scientific collaboration variety and scientific output in a specific field. The indicators were set from co-author variety (co-author’s academic background variety and co-author’s network structure variety as independent variables) and article impact (academic impact and social impact as dependent variables). Considering other factors affecting the research results, we also set up control variables (the number of co-authors, proportion of high-level authors and ratio of highly productive authors). We used the Scopus database as the data source and collected all articles published in the dental field in 2018 as data. We used multiple linear regression analyses to examine the impact of co-authors’ variety on the article impact. The results demonstrate that the relationship between scientific collaboration variety and article impact is complicated, which depends on the type of variety of the cooperative scientist. Conversely, the same variety indicator presents the same results as the correlation analysis of academic and social impact articles. The findings indicate that authors can improve their scientific output by collaborating with similar authors of academic backgrounds or stable groups of authors, which provides guidance for scientific cooperation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信