2019 Preprint
Citation Counts as a Measure for Scientific Impact
Abstract: This thesis presents a look into citation counts as a measure for scientific impact which in turn is used to determine the replication value (RV). first, by comparing citation sources (WoS, Crossref, Scopus and Scite) from which citation counts can be retrieved. Secondly, by removing contradicting citations from the citation count, and comparing this new citation count without contradicting citations with the original total citation count. In both cases, based on the citation count, rank order lists are formed…
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“…Citation counts retrieved from different sources (such as Google Scholar, Crossref, Scopus or Web of Science) differ both in terms of their reference coverage and in their exact citation counts for the same reference (Martín-Martín et al, 2018). However, rank-order correlations between citation counts from different sources appear to be very high (Burgers, 2019;Martín-Martín et al, 2018). Thus, as long as the same source is consistently used for all replication candidates under consideration, the relative rank-order difference in citation count between two candidates should be highly similar regardless of which source we use.…”
Section: Citation Count As An Indicator Of Valuementioning
confidence: 99%
“…Citation counts retrieved from different sources (such as Google Scholar, Crossref, Scopus or Web of Science) differ both in terms of their reference coverage and in their exact citation counts for the same reference (Martín-Martín et al, 2018). However, rank-order correlations between citation counts from different sources appear to be very high (Burgers, 2019;Martín-Martín et al, 2018). Thus, as long as the same source is consistently used for all replication candidates under consideration, the relative rank-order difference in citation count between two candidates should be highly similar regardless of which source we use.…”
Section: Citation Count As An Indicator Of Valuementioning
confidence: 99%
