A Novel Approach for Estimating the Omitted-Citation Rate of Bibliometric Databases With an Application to the Field of Bibliometrics
作者： Fiorenzo Franceschini , Domenico Maisano , Luca Mastrogiacomo
DOI: 10.1002/ASI.22898
关键词: Information retrieval 、 Citation rate 、 Database 、 Field (computer science) 、 Citation analysis 、 Bibliometrics 、 Computer science 、 Statistical model 、 Data mining
摘要: One of the most significant inaccuracies bibliometric databases is that omitted citations, namely, missing electronic links between a paper interest and some citing papers, which are (or should be) covered by database. This proposes novel approach for estimating database’s omitted-citation rate, based on combined use 2 or more databases. A statistical model also presented (a) “true” number citations received individual papers sets (b) defining an appropriate confidence interval. The proposed could represent first step towards definition standard evaluating accuracy level
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