哪些因素与开放获取出版有关?b施普林格自然案例研究

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Fakhri Momeni, S. Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters
{"title":"哪些因素与开放获取出版有关?b施普林格自然案例研究","authors":"Fakhri Momeni, S. Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters","doi":"10.1162/qss_a_00253","DOIUrl":null,"url":null,"abstract":"Abstract Open Access (OA) facilitates access to research articles. However, authors or funders often must pay the publishing costs, preventing authors who do not receive financial support from participating in OA publishing and gaining citation advantage for OA articles. OA may exacerbate existing inequalities in the publication system rather than overcome them. To investigate this, we studied 522,411 articles published by Springer Nature. Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers. A machine learning classification method helped us to explore the importance of different features in predicting the publishing model. The results show that authors eligible for article processing charge (APC) waivers publish more in gold OA journals than others. In contrast, authors eligible for an APC discount have the lowest ratio of OA publications, leading to the assumption that this discount insufficiently motivates authors to publish in gold OA journals. We found a strong correlation between the journal rank and the publishing model in gold OA journals, whereas the OA option is mostly avoided in hybrid journals. Also, results show that the countries’ income level, seniority, and experience with OA publications are the most predictive factors for OA publishing in hybrid journals.","PeriodicalId":34021,"journal":{"name":"Quantitative Science Studies","volume":"4 1","pages":"353-371"},"PeriodicalIF":4.1000,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Which factors are associated with Open Access publishing? A Springer Nature case study\",\"authors\":\"Fakhri Momeni, S. Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters\",\"doi\":\"10.1162/qss_a_00253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Open Access (OA) facilitates access to research articles. However, authors or funders often must pay the publishing costs, preventing authors who do not receive financial support from participating in OA publishing and gaining citation advantage for OA articles. OA may exacerbate existing inequalities in the publication system rather than overcome them. To investigate this, we studied 522,411 articles published by Springer Nature. Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers. A machine learning classification method helped us to explore the importance of different features in predicting the publishing model. The results show that authors eligible for article processing charge (APC) waivers publish more in gold OA journals than others. In contrast, authors eligible for an APC discount have the lowest ratio of OA publications, leading to the assumption that this discount insufficiently motivates authors to publish in gold OA journals. We found a strong correlation between the journal rank and the publishing model in gold OA journals, whereas the OA option is mostly avoided in hybrid journals. Also, results show that the countries’ income level, seniority, and experience with OA publications are the most predictive factors for OA publishing in hybrid journals.\",\"PeriodicalId\":34021,\"journal\":{\"name\":\"Quantitative Science Studies\",\"volume\":\"4 1\",\"pages\":\"353-371\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2022-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Science Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1162/qss_a_00253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Science Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/qss_a_00253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 2

摘要

开放获取(OA)促进了对研究论文的访问。然而,作者或资助者往往必须支付出版费用,这使得没有获得资金支持的作者无法参与OA出版,无法获得OA文章的被引优势。开放获取可能会加剧而不是克服出版系统中存在的不平等。为了调查这个问题,我们研究了b施普林格Nature发表的522,411篇文章。采用相关分析和回归分析,我们描述了来自不同收入水平国家的作者、他们选择的出版模式和他们论文的被引影响之间的关系。机器学习分类方法帮助我们探索不同特征在预测出版模型中的重要性。结果表明,符合文章处理费(APC)豁免条件的作者在金牌开放获取期刊上发表的文章比其他作者多。相比之下,有资格获得APC折扣的作者的OA出版物比例最低,这导致人们认为这种折扣不足以激励作者在金牌OA期刊上发表文章。我们发现,在金牌开放获取期刊中,期刊排名与出版模式之间存在很强的相关性,而在混合型期刊中,OA选项大多被避免。此外,研究结果表明,国家的收入水平、资历和开放获取出版物的经验是混合期刊开放获取出版的最具预测性的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Which factors are associated with Open Access publishing? A Springer Nature case study
Abstract Open Access (OA) facilitates access to research articles. However, authors or funders often must pay the publishing costs, preventing authors who do not receive financial support from participating in OA publishing and gaining citation advantage for OA articles. OA may exacerbate existing inequalities in the publication system rather than overcome them. To investigate this, we studied 522,411 articles published by Springer Nature. Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers. A machine learning classification method helped us to explore the importance of different features in predicting the publishing model. The results show that authors eligible for article processing charge (APC) waivers publish more in gold OA journals than others. In contrast, authors eligible for an APC discount have the lowest ratio of OA publications, leading to the assumption that this discount insufficiently motivates authors to publish in gold OA journals. We found a strong correlation between the journal rank and the publishing model in gold OA journals, whereas the OA option is mostly avoided in hybrid journals. Also, results show that the countries’ income level, seniority, and experience with OA publications are the most predictive factors for OA publishing in hybrid journals.
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
Quantitative Science Studies
Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
12.10
自引率
12.50%
发文量
46
审稿时长
22 weeks
期刊介绍:
×
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