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Measuring Scholarly Productivity of Long Island Educational Institutions: Using Web of Science and Scopus as a Tool

机译:测量长岛教育机构的学术生产力:使用Web of Science和Scopus作为工具

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Objective – This paper explores how to utilize two well-known library databases, Thomson Reuter’s Web of Science and Elsevier’s Scopus, to quantify Long Island educational institutions’ scholarly productivity. Methods – Institutions located in the Long Island region and within Nassau and Suffolk counties, including the State University of New York (SUNY) colleges, private institutions, and technical schools, were examined for the last 14 years (2000–2013). Eight Long Island institutions were represented in both databases and were included in the study. Results – Of the eight institutions, Stony Brook University produced the most publications indexed in Web of Science and Scopus during the period of 2000–2013. Cold Spring Harbor Laboratory yielded the second most publications during 2000–2013 in both Web of Science and Scopus, but it produced the highest quality publications compared with other institutions excluding Stony Brook University. Although the annual growth rates of Farmingdale State College and New York Institute of Technology increased dramatically in both Web of Science and Scopus, the large proportional increase did not represent a large increase in total value. Additionally, some institutions had a higher number of publications indexed in Web of Science than in Scopus, and others had a higher number of publications indexed in Scopus than in Web of Science. Conclusions – Data were collected from institutions in Long Island with various institutional sizes, the number of faculty members employed may have made an impact on the number of publications. Thus, publication data in this study cannot be used to compare their rankings. Institutions with a similar type and similar size of faculty members should be selected for comparison. Due to the different coverage and scope of Web of Science and Scopus, institutions should use both databases to examine their scholarly output. Furthermore, institutions should consider using altmetrics to capture various impacts of the scholarly output to complement the traditional metrics.
机译:目标–本文探讨了如何利用Thomson Reuter的Web of Science和Elsevier的Scopus这两个著名的图书馆数据库来量化长岛教育机构的学术生产力。方法–在过去的14年中(2000年至2013年),对位于长岛地区以及拿骚和萨福克郡内部的机构,包括纽约州立大学(SUNY)的大学,私立机构和技术学校进行了检查。在这两个数据库中都有八个长岛机构的代表,并将其纳入研究。结果–在2000-2013年期间,石溪大学在八家机构中发表的Web of Science和Scopus收录的出版物最多。在2000-2013年间,冷泉港实验室在Web of Science和Scopus上发表的出版物数量均位居第二,但与除石溪大学以外的其他机构相比,该出版物的质量最高。尽管Web of Science和Scopus的Farmingdale州立大学和纽约理工学院的年增长率都大大提高了,但比例的大幅度增长并不代表总价值的大幅度增长。另外,一些机构在Web of Science中索引的出版物数量比在Scopus中要多,而其他机构在Scopus中索引的出版物数量则比在Web of Science中要高。结论–数据是从长岛的机构规模不同的机构收集的,所雇用的教职员工人数可能对出版物的数量产生了影响。因此,本研究中的出版物数据不能用于比较其排名。应该选择具有相似类型和类似规模的教职员工的机构进行比较。由于Web of Science和Scopus的覆盖范围和范围不同,机构应使用这两个数据库来检查其学术成果。此外,机构应考虑使用替代指标来捕获学术成果的各种影响,以补充传统指标。

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