首页|引用评论证据视角下高水平论文遴选研究

引用评论证据视角下高水平论文遴选研究

扫码查看
论文作为科研成果的重要表现形式,在"破五唯"的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手.引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于更科学地发现高水平论文.首先,本文基于学术认同理论和证据特征阐释了模型构建的基本思想;其次,对基于内容语义的引用情感和引用功能进行重新界定和分类,并充分考虑"施引作者可信度",构建高水平论文遴选综合加权模型;再其次,选取化学领域顶级刊物Angewandte Chemie-International Edition中的相关论文展开实证研究,结果表明,本文提出的模型可以较精准地筛选出"非常重要论文(very important paper,VIP)";最后,与其他主流评价指标进行比较分析,证实了本文模型具有较高的区分度和鉴别度,在论文学术水平评价中具有显著优越性.
Research on High-Level Paper Selection from Citation Review Evidence Perspective
A paper is an important expression of scientific research results.It is crucial to scientifically select high-level pa-pers under the current background of"breaking the five-only"approach,which is the basic starting point to ensure the im-plementation of representative work evaluation.Citation comments by the academic community are the most direct form of recognition of a paper's value and serve as substantive and critical evidence of academic evaluation.Analyzing citation content more deeply helps to discover high-level papers more scientifically.First,this paper explains the basic idea of mod-el construction based on the theory of academic identity and the characteristics of evidence.Second,it redefines and classi-fies citing emotions and citing functions based on content semantics,and fully considers the"citing author's credibility."This leads to the construction of a comprehensive weighted selection model for high-level academic papers.Third,relevant papers from Angewandte Chemie-International Edition,a top journal in the field of chemistry,are selected for empirical re-search.The results show that the model proposed in this paper accurately identifies"Very Important Papers(VIPs)."Final-ly,compared with other mainstream evaluation indexes,the model demonstrates a high degree of differentiation and dis-crimination,significantly improving the evaluation of the academic level of a paper.

citation commentpaperevidenceevaluationhigh level

马瑞敏、冯玉梅、宋国庆

展开 >

山西大学经济与管理学院,太原 030006

山西大学科学评价研究中心,太原 030006

引用评论 论文 证据 评价 高水平

国家社会科学基金项目

22BTQ060

2024

情报学报
中国科学技术情报学会 中国科学技术信息研究所

情报学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.296
ISSN:1000-0135
年,卷(期):2024.43(7)
  • 20