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Personal Publications Lists Serve as a Reliable Calibration Parameter to Compare Coverage in Academic Citation Databases with Scientific Social Media

机译:个人出版物列表作为可靠的校准参数,以比较具有科学社交媒体的学术引用数据库的覆盖范围

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摘要

A Review of:Hilbert, F., Barth, J., Gremm, J., Gros, D., Haiter, J., Henkel, M., Reinhardt, W., & Stock, W.G. (2015). Coverage of academic citation databases compared with coverage of scientific social media: personal publication lists as calibration parameters. Online Information Review 39(2): 255-264. http://dx.doi.org/10.1108/OIR-07-2014-0159AbstractObjective – The purpose of this study was to explore coverage rates of information science publications in academic citation databases and scientific social media using a new method of personal publication lists as a calibration parameter. The research questions were: How many publications are covered in different databases, which has the best coverage, and what institutions are represented and how does the language of the publication play a role?Design – Bibliometric analysis.Setting – Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, Bibsonomy).Subjects – 1,017 library and information science publications produced by 76 information scientists at 5 German-speaking universities in Germany and Austria.Methods – Only documents which were published between 1 January 2003 and 31 December 2012 were included. In that time the 76 information scientists had produced 1,017 documents. The information scientists confirmed that their publication lists were complete and these served as the calibration parameter for the study. The citations from the publication lists were searched in three academic databases: Google Scholar, Web of Science (WoS), and Scopus; as well as three social media citation sites: Mendeley, CiteULike, and BibSonomy and the results were compared. The publications were searched for by author name and words from the title.Main results – None of the databases investigated had 100% coverage. In the academic databases, Google Scholar had the highest amount of coverage with an average of 63%, Scopus an average of 31%, and lowest was WoS with an average of 15%. On social media sites, Bibsonomy had the highest coverage with an average of 24%, Mendeley had an average coverage of 19%, and the lowest coverage was CiteULike with an average of 8%. Conclusion – The use of personal publication lists are reliable calibration parameters to compare coverage of information scientists in academic citation databases with scientific social media. Academic citation databases had a higher coverage of publications, in particular, Google Scholar, compared to scientific social media sites. The authors recommend that information scientists personally publish work on social media citation databases to increase exposure. Formulating a publication strategy may be useful to identify journals with the most exposure in academic citation databases. Individuals should be encouraged to keep personal publication lists and these can be used as calibration parameters as a measure of coverage in the future.
机译:审查:希尔伯特,F.,巴特,J.,Gremm,J.,格罗斯,D.,Haiter,J.,汉高,M.,Reinhardt的,W。,股票,W.G.(2015)。个人出版物列为校准参数:用科学的社会化媒体的报道相比,学术引文数据库的覆盖范围。在线信息评论39(2):255-264。 http://dx.doi.org/10.1108/OIR-07-2014-0159抽象的目标 - 本研究的目的是探讨在使用个人发布列表的新方法作为校准参数学术引文数据库,科学的社会化媒体信息科学出版物的覆盖率。研究问题是:有多少出版物覆盖在不同的数据库,它具有最佳的覆盖范围,并代表什么机构以及如何出版物的语言发挥作用?设计 - 计量分析。设置 - 学术引文数据库(万维网科学,SCOPUS,谷歌学术)和科学的社会化媒体(Mendeley,CiteULike,Bibsonomy)。主题 - 1017图书馆与信息科学出版物76名信息科学家在德国和奥地利5讲德语的大学产生。方法 - 这是2003年出版1月1日和31日之间2012年12月,只有文件都包括在内。在当时的76名信息科学家已经产生1017个文档。信息科学家证实,他们的发布列表是完整的,这些担任这项研究的校准参数。从发布列表的引用进行了全面搜查在3个科学数据库:谷歌学术,科学(WOS),和Scopus的网站;以及三个社交媒体引用网站:Mendeley,CiteULike和BibSonomy和结果进行了比较。这些出版物搜索按作者姓名,并从标题词。主要结果 - 数据库中没有调查过100%的覆盖率。在学术数据库,谷歌的学者已经覆盖量最高,平均为63%,SCOPUS平均为31%,而最低的是平均的15%WOS。在社交媒体网站,Bibsonomy有平均24%的覆盖率最高,Mendeley过的19%的平均覆盖,覆盖率最低的地区是CiteULike平均为8%。结论 - 使用个人出版物名单是可靠的校准参数来比较信息的科学家报道与科学的社会化媒体的学术引文数据库。学术引文数据库有出版物的覆盖率高,特别是谷歌学术搜索,比较科学的社会媒体网站。作者建议,信息科学家亲自发布在社交媒体上引文数据库工作,以增加曝光率。制定发布的策略可能是识别与学术引文数据库的最暴露的期刊有用。个人应鼓励保留个人公布名单和这些可以作为校准参数覆盖在未来的措施。

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    Emma Hughes;

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