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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,可将学术引文数据库的覆盖率与科学社交媒体进行比较

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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-07-2014-0159 Abstract Objective – 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:评论:希尔伯特·F·巴特·J·格雷姆·J·格罗斯·D·海特·J·汉克尔·M·莱因哈特W.和斯托克·W·G(2015)。学术引用数据库的覆盖范围与科学社交媒体的覆盖范围的比较:个人出版物列表作为校准参数。在线信息评论39(2):255-264。 http://dx.doi.org/10.1108/OIR-07-2014-0159摘要目标–这项研究的目的是使用一种新的个人方法探讨学术引用数据库和科学社交媒体中信息科学出版物的覆盖率出版物列表作为校准参数。研究的问题是:在不同的数据库中涵盖了多少出版物,涵盖的范围最广,代表了哪些机构,出版物的语言如何发挥作用?设计–文献计量分析。设置–学术引用数据库(Web of Science,Scopus,Google Scholar)和科学社交媒体(Mendeley,CiteULike,Bibsonomy)。主题–由德国和奥地利的5所德语大学的76位信息科学家制作的1,017篇图书馆和信息科学出版物。方法–仅包括2003年1月1日至2012年12月31日之间发布的文档。到那时,这76名信息科学家已经制作了1,017份文档。信息科学家确认他们的出版物清单是完整的,并且可以用作研究的校准参数。在三个学术数据库中搜索了出版物清单的引文:Google学术搜索,Web of Science(WoS)和Scopus。以及三个社交媒体引用站点:Mendeley,CiteULike和BibSonomy,并对结果进行了比较。通过作者姓名和标题中的单词搜索出版物。主要结果–所调查的数据库均没有100%覆盖。在学术数据库中,Google学术搜索的覆盖率最高,平均为63%,Scopus平均为31%,最低的是WoS,平均为15%。在社交媒体网站上,Bibsonomy的覆盖率最高,平均为24%,Mendeley的覆盖率平均为19%,而CiteULike的覆盖率最低,平均为8%。结论–个人出版物清单的使用是可靠的校准参数,可以将学术引文数据库中信息科学家的报道范围与科学社交媒体进行比较。与科学社交媒体网站相比,学术引文数据库对出版物尤其是Google学术搜索的覆盖率更高。作者建议信息科学家亲自在社交媒体引用数据库上发布工作,以增加曝光率。制定出版策略可能有助于识别学术引用数据库中曝光率最高的期刊。应鼓励个人保留个人出版物清单,这些清单可用作将来校准的参数,作为覆盖率的衡量标准。

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