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A novel approach for estimating the omitted-citation rate of bibliometric databases with an application to the field of bibliometrics.

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Title: A novel approach for estimating the omitted-citation rate of bibliometric databases with an application to the field of bibliometrics.
Authors: Franceschini, Fiorenzo1 fiorenzo.franceschini@polito.it, Maisano, Domenico1 domenico.maisano@polito.it, Mastrogiacomo, Luca1 luca.mastrogiacomo@polito.it
Source: Journal of the American Society for Information Science & Technology. Oct2013, Vol. 64 Issue 10, p2149-2156. 8p. 1 Diagram, 4 Charts.
Subjects: Bibliometrics, Database evaluation, Information retrieval, Evaluation research, Citation analysis, Statistical models
Abstract: One of the most significant inaccuracies of bibliometric databases is that of omitted citations, namely, missing electronic links between a paper of interest and some citing papers, which are (or should be) covered by the database. This paper proposes a novel approach for estimating a database's omitted-citation rate, based on the combined use of 2 or more bibliometric databases. A statistical model is also presented for (a) estimating the 'true' number of citations received by individual papers or sets of papers, and (b) defining an appropriate confidence interval. The proposed approach could represent a first step towards the definition of a standard for evaluating the accuracy level of databases. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A novel approach for estimating the omitted-citation rate of bibliometric databases with an application to the field of bibliometrics.
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  Data: <searchLink fieldCode="AR" term="%22Franceschini%2C+Fiorenzo%22">Franceschini, Fiorenzo</searchLink><relatesTo>1</relatesTo><i> fiorenzo.franceschini@polito.it</i><br /><searchLink fieldCode="AR" term="%22Maisano%2C+Domenico%22">Maisano, Domenico</searchLink><relatesTo>1</relatesTo><i> domenico.maisano@polito.it</i><br /><searchLink fieldCode="AR" term="%22Mastrogiacomo%2C+Luca%22">Mastrogiacomo, Luca</searchLink><relatesTo>1</relatesTo><i> luca.mastrogiacomo@polito.it</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Oct2013, Vol. 64 Issue 10, p2149-2156. 8p. 1 Diagram, 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Database+evaluation%22">Database evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+research%22">Evaluation research</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink>
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  Label: Abstract
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  Data: One of the most significant inaccuracies of bibliometric databases is that of omitted citations, namely, missing electronic links between a paper of interest and some citing papers, which are (or should be) covered by the database. This paper proposes a novel approach for estimating a database's omitted-citation rate, based on the combined use of 2 or more bibliometric databases. A statistical model is also presented for (a) estimating the 'true' number of citations received by individual papers or sets of papers, and (b) defining an appropriate confidence interval. The proposed approach could represent a first step towards the definition of a standard for evaluating the accuracy level of databases. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asi.22898
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        Text: English
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      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Database evaluation
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      – SubjectFull: Information retrieval
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      – SubjectFull: Evaluation research
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      – SubjectFull: Citation analysis
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              Text: Oct2013
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