期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
Bibliometrics: tracking research impact by selecting Lhe appropriate metrics 被引量:21
1
作者 Ashok Agarwal Damayanthi Durairajanayagam +18 位作者 Sindhuja Tatagari Sandro C Esteves Avi Harlev Ralf Henkel Shubhadeep Roychoudhury Sheryl Homa Nicolas Garrido Puchalt Ranjith Ramasamy Ahmad Majzoub Kim Dao Ly Eva Tvrda Mourad Assidi Kavindra Kesai Reecha Sharma Saleem Banihani Edmund Ko Muhammad Abu-Elmagd Jaime Gosalvez Asher Bashiri 《Asian Journal of Andrology》 SCIE CAS CSCD 2016年第2期296-309,J0008,共15页
Traditionally, the success of a researcher is assessed by the number of publications he or she publishes in peer-reviewed, indexed, high impact journals. This essential yardstick, often referred to as the impact of a ... Traditionally, the success of a researcher is assessed by the number of publications he or she publishes in peer-reviewed, indexed, high impact journals. This essential yardstick, often referred to as the impact of a specific researcher, is assessed through the use of various metrics. While researchers may be acquainted with such matrices, many do not know how to use them to enhance their careers. In addition to these metrics, a number of other factors should be taken into consideration to objectively evaluate a scientist's profile as a researcher and academician. Moreover, each metric has its own limitations that need to be considered when selecting an appropriate metric for evaluation. This paper provides a broad overview of the wide array of metrics currently in use in academia and research. Popular metrics are discussed and defined, including traditional metrics and article-level metrics, some of which are applied to researchers for a greater understanding of a particular concept, including varicocete that is the thematic area of this Special Issue of Asian Journal of Andrology. We recommend the combined use of quantitative and qualitative evaluation using judiciously selected metrics for a more objective assessment of scholarly output and research impact. 展开更多
关键词 article-level metrics BIBLIOMETRICS citation counts H-INDEX impact factor research databases research impact research productivity traditional metrics
原文传递
Sharing gray academic literature with ResearchGate DOIs:Increased discoverability but inaccurate metadata
2
作者 Enrique Orduña-Malea 《Journal of Data and Information Science》 2025年第4期44-65,共22页
Purpose:To describe the characteristics of research outputs using persistent identifiers generated by ResearchGate to gain insight into what publications are shared and disseminated through this functionality,revealin... Purpose:To describe the characteristics of research outputs using persistent identifiers generated by ResearchGate to gain insight into what publications are shared and disseminated through this functionality,revealing their academic and non-academic impact.Design/methodology/approach:A total of 1,092,934 RG-DOIs were collected,using the DataCite API,along with bibliographic metadata for the associated registered output(RG-DOI publications).The subsequent analysis evaluated the publication date,document type,and language.These values were crossreferenced against the full text of a random sample of 666 records to verify accuracy.Findings:RG-DOIs have served primarily to identify and make accessible scholarly gray literature,including posters,presentations,conference papers,and theses,with notable emphasis on publications in Spanish and Portuguese.Around 41,000 citations from Web of Science indexed publications to RG publications are evidence of their infrequent but perceptible use in scholarly discourse.The declining number of registrations of RG-DOIs observed may indicate a shift in researcher preferences to alternative platforms for DOI generation.Research limitations:The study uncovered substantial inconsistencies in DataCite metadata,which can be attributed to the automated DOI registration process and internal changes in the available document types on ResearchGate.Practical implications:The study encountered challenges in conducting a quantitative analysis due to inconsistencies in the metadata.These have potential implications for researchers,practitioners,and librarians relying on RG-DOIs to conduct bibliometric or bibliographic analysis.Originality/value:This study is the first comprehensive analysis of RG-DOIs and,as such,provides a unique perspective into academic gray literature.It also sheds light on the quality of ResearchGate data transmitted to DataCite when registering DOIs. 展开更多
关键词 article-level metrics Permanent identifiers ResearchGate Social academic networking sites Social media metrics
在线阅读 下载PDF
基于主成分分析的科学评价维度研究——以PLoS ONE为例 被引量:11
3
作者 宋丽萍 王建芳 刘芮 《图书情报工作》 CSSCI 北大核心 2014年第17期119-124,共6页
借助主成分分析,以PLoS ONE的Article-Level Metrics为数据源对物理学、化学、社会学、免疫学四学科的科学评价主要维度进行解析。分析表明一维空间的科学评价在覆盖50%信息的同时将损失其余的50%,3个维度才能以80%的精度描述论文的学... 借助主成分分析,以PLoS ONE的Article-Level Metrics为数据源对物理学、化学、社会学、免疫学四学科的科学评价主要维度进行解析。分析表明一维空间的科学评价在覆盖50%信息的同时将损失其余的50%,3个维度才能以80%的精度描述论文的学术影响力,进而将科学评价的3个维度分别命名为引用维、共享维与利用维,从而说明以引用为基础的传统科学评价的片面性,并揭示科学评价的多维构成。 展开更多
关键词 主成分分析 科学评价 PLOS ONE article-level Metrics
原文传递
Altmetrics工具的起源、质疑、改进与发展 被引量:4
4
作者 刘春丽 《图书馆杂志》 CSSCI 北大核心 2018年第3期84-91,共8页
对Altmetrics的发展过程及现状进行了较为系统的总结,主要包括Altmetrics工具的起源、危机和转型三方面,厘清Altmetrics工具的产生背景,系统阐释了其面对来自科学共同体内、外的质疑和挑战,采取的积极应答、改进和发展的具体策略。
关键词 Altmetrics article-level Metrics 开放科学 科研成果评价
原文传递
Application of Article - Level Metrics and comparison with Journal- Level Metrics in differentiated document recommendation: An empirical study in artificial intelligence field
5
作者 Feifei Wang Wanzhao Lu Yusi Hou 《Data Science and Informetrics》 2021年第4期84-97,共14页
The measurement indexes of literature include citation frequency,H index,etc.The evaluation of core joumals mainly relies on the indexes such as impact factor or comprehensive evaluation method.With the in-depth devel... The measurement indexes of literature include citation frequency,H index,etc.The evaluation of core joumals mainly relies on the indexes such as impact factor or comprehensive evaluation method.With the in-depth development of research,these indicators are not comprehensive and accurate for literature and jourmals.Therefore,according to various literature needs for different researchers,"core literature"in this study was divided into three types:classical,popular and frontier;and measurement system of document value was constructed with comprehensive use of entropy weight method and principal component analysis from the perspective of Article-Level Metrics.In the case study of artificial intelligence(AD),three types of document sets were acquired with the threshold value of specific indicators,and then measured by a combination of multi-index,achieving identification and recommendation of core documents for different research needs.At the same time,this paper further calculates the total score of the joumals according to the literature score,and finds that the journal distribution of different types of core literature is quite different.The difference between the ranking of joumal scores and the ranking of impact factor after literature classification is relatively large,but the ranking of jourmal normalized Eigenfactor and the ranking of impact factor are similar.These research directions,loading joumals,selected indicators,and temporal effects in three types of core documents were revealed in the study,which can provide a certain reference for promoting scientific research in AI and launching scientific research management services. 展开更多
关键词 article-level Metrics Journal-Level Metrics Core documents Entropy weight method Principal component analysis Artificial intelligence
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部