%0 Journal Article %1 franceschini2015research %A Franceschini, Fiorenzo %A Maisano, Domenico %A Mastrogiacomo, Luca %D 2015 %I Springer Netherlands %J Quality & Quantity %K Literaturdatenbank Qualität evaluation fehler forschung vergleich zitationsanalyse %N 1 %P 155-165 %R 10.1007/s11135-013-9979-1 %T Research quality evaluation: comparing citation counts considering bibliometric database errors %U http://dx.doi.org/10.1007/s11135-013-9979-1 %V 49 %X When evaluating the research output of scientists, institutions or journals, different portfolios of publications are usually compared with each other. e.g., a typical problem is to select, between two scientists of interest, the one with the most cited portfolio. The total number of received citations is a very popular indicator, generally obtained by bibliometric databases. However, databases are not free from errors, which may affect the result of evaluations and comparisons; among these errors, one of the most significant is that of omitted citations. This paper presents a methodology for the pair-wise comparison of publication portfolios, which takes into account the database quality regarding omitted citations. In particular, it is defined a test for establishing if a citation count is (or not) significantly higher than one other. A statistical model for estimating the type-I error related to this test is also developed.

@article{franceschini2015research, abstract = {When evaluating the research output of scientists, institutions or journals, different portfolios of publications are usually compared with each other. e.g., a typical problem is to select, between two scientists of interest, the one with the most cited portfolio. The total number of received citations is a very popular indicator, generally obtained by bibliometric databases. However, databases are not free from errors, which may affect the result of evaluations and comparisons; among these errors, one of the most significant is that of omitted citations. This paper presents a methodology for the pair-wise comparison of publication portfolios, which takes into account the database quality regarding omitted citations. In particular, it is defined a test for establishing if a citation count is (or not) significantly higher than one other. A statistical model for estimating the type-I error related to this test is also developed.}, added-at = {2015-01-23T12:45:38.000+0100}, author = {Franceschini, Fiorenzo and Maisano, Domenico and Mastrogiacomo, Luca}, biburl = {https://www.bibsonomy.org/bibtex/2db52020272f1a71f87dcd60c20dd851a/wdees}, description = {Research quality evaluation: comparing citation counts considering bibliometric database errors - Springer}, doi = {10.1007/s11135-013-9979-1}, interhash = {9a755b387a700c3316cae01667fef142}, intrahash = {db52020272f1a71f87dcd60c20dd851a}, issn = {0033-5177}, journal = {Quality & Quantity}, keywords = {Literaturdatenbank Qualität evaluation fehler forschung vergleich zitationsanalyse}, language = {English}, number = 1, pages = {155-165}, publisher = {Springer Netherlands}, timestamp = {2015-01-23T12:45:38.000+0100}, title = {Research quality evaluation: comparing citation counts considering bibliometric database errors}, url = {http://dx.doi.org/10.1007/s11135-013-9979-1}, volume = 49, year = 2015 }