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资金之外:生物医学、自然科学和社会科学中的致谢模式。

Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences.

作者信息

Paul-Hus Adèle, Díaz-Faes Adrián A, Sainte-Marie Maxime, Desrochers Nadine, Costas Rodrigo, Larivière Vincent

机构信息

École de bibliothéconomie et des sciences de l'information, Université de Montréal Montreal, Quebec, Canada.

INGENIO (CSIC-UPV), Universitat Politècnica de València, Valencia, Spain.

出版信息

PLoS One. 2017 Oct 4;12(10):e0185578. doi: 10.1371/journal.pone.0185578. eCollection 2017.

DOI:10.1371/journal.pone.0185578
PMID:28976996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5627922/
Abstract

For the past 50 years, acknowledgments have been studied as important paratextual traces of research practices, collaboration, and infrastructure in science. Since 2008, funding acknowledgments have been indexed by Web of Science, supporting large-scale analyses of research funding. Applying advanced linguistic methods as well as Correspondence Analysis to more than one million acknowledgments from research articles and reviews published in 2015, this paper aims to go beyond funding disclosure and study the main types of contributions found in acknowledgments on a large scale and through disciplinary comparisons. Our analysis shows that technical support is more frequently acknowledged by scholars in Chemistry, Physics and Engineering. Earth and Space, Professional Fields, and Social Sciences are more likely to acknowledge contributions from colleagues, editors, and reviewers, while Biology acknowledgments put more emphasis on logistics and fieldwork-related tasks. Conflicts of interest disclosures (or lack of thereof) are more frequently found in acknowledgments from Clinical Medicine, Health and, to a lesser extent, Psychology. These results demonstrate that acknowledgment practices truly do vary across disciplines and that this can lead to important further research beyond the sole interest in funding.

摘要

在过去的50年里,致谢被视为科学研究实践、合作及基础设施的重要副文本痕迹进行研究。自2008年以来,资助致谢已被科学引文索引收录,支持对研究资助进行大规模分析。本文运用先进的语言方法以及对应分析,对2015年发表的研究论文和综述中的100多万条致谢进行分析,旨在超越资助披露,大规模地并通过学科比较研究致谢中发现的主要贡献类型。我们的分析表明,化学、物理和工程领域的学者更常提及技术支持。地球与空间科学、专业领域以及社会科学更有可能感谢同事、编辑和审稿人的贡献,而生物学领域的致谢则更强调后勤和与实地工作相关的任务。利益冲突披露(或未披露)在临床医学、健康领域以及程度稍轻的心理学领域的致谢中更为常见。这些结果表明,致谢方式确实因学科而异,这可能引发除了对资助的单一兴趣之外的重要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff48/5627922/73e05de7a821/pone.0185578.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff48/5627922/ea698836bb5a/pone.0185578.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff48/5627922/73e05de7a821/pone.0185578.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff48/5627922/ea698836bb5a/pone.0185578.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff48/5627922/73e05de7a821/pone.0185578.g002.jpg

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