Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores.
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| Title: | Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores. |
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| Authors: | Schreiber, Michael1 schreiber@physik.tu-chemnitz.de |
| Source: | Journal of the American Society for Information Science & Technology. Apr2013, Vol. 64 Issue 4, p861-867. 7p. 4 Charts. |
| Subjects: | Mathematics methodology, Physics, Statistics, Data analysis, Citation analysis |
| Abstract: | Fractional scoring has been proposed to avoid inconsistencies in the attribution of publications to percentile rank classes. Uncertainties and ambiguities in the evaluation of percentile ranks can be demonstrated most easily with small data sets. But for larger data sets, an often large number of papers with the same citation count leads to the same uncertainties and ambiguities, which can be avoided by fractional scoring, demonstrated by four different empirical data sets with several thousand publications each, which are assigned to six percentile rank classes. Only by utilizing fractional scoring does, the total score of all papers exactly reproduce the theoretical value in each case. [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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 86213576 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schreiber%2C+Michael%22">Schreiber, Michael</searchLink><relatesTo>1</relatesTo><i> schreiber@physik.tu-chemnitz.de</i> – Name: TitleSource Label: Source Group: Src 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>. Apr2013, Vol. 64 Issue 4, p861-867. 7p. 4 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mathematics+methodology%22">Mathematics methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Physics%22">Physics</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Fractional scoring has been proposed to avoid inconsistencies in the attribution of publications to percentile rank classes. Uncertainties and ambiguities in the evaluation of percentile ranks can be demonstrated most easily with small data sets. But for larger data sets, an often large number of papers with the same citation count leads to the same uncertainties and ambiguities, which can be avoided by fractional scoring, demonstrated by four different empirical data sets with several thousand publications each, which are assigned to six percentile rank classes. Only by utilizing fractional scoring does, the total score of all papers exactly reproduce the theoretical value in each case. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=86213576 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.22774 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 861 Subjects: – SubjectFull: Mathematics methodology Type: general – SubjectFull: Physics Type: general – SubjectFull: Statistics Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Citation analysis Type: general Titles: – TitleFull: Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schreiber, Michael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 64 – Type: issue Value: 4 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
| ResultId | 1 |
