Field- and time-normalization of data with many zeros: an empirical analysis using citation and Twitter data

Scientometrics
Robin Haunschild, Lutz Bornmann

Abstract

Thelwall (J Informetr 11(1):128-151, 2017a. 10.1016/j.joi.2016.12.002; Web indicators for research evaluation: a practical guide. Morgan and Claypool, London, 2017b) proposed a new family of field- and time-normalized indicators, which is intended for sparse data. These indicators are based on units of analysis (e.g., institutions) rather than on the paper level. They compare the proportion of mentioned papers (e.g., on Twitter) of a unit with the proportion of mentioned papers in the corresponding fields and publication years. We propose a new indicator (Mantel-Haenszel quotient, MHq) for the indicator family. The MHq is rooted in the Mantel-Haenszel (MH) analysis. This analysis is an established method, which can be used to pool the data from several 2 × 2 cross tables based on different subgroups. We investigate using citations and assessments by peers whether the indicator family can distinguish between quality levels defined by the assessments of peers. Thus, we test the convergent validity. We find that the MHq is able to distinguish between quality levels in most cases while other indicators of the family are not. Since our study approves the MHq as a convergent valid indicator, we apply the MHq to four different Twitter...Continue Reading

References

Jun 10, 2011·Scientometrics·Ludo WaltmanAnthony F J van Raan
Nov 22, 2011·Frontiers in Computational Neuroscience·Gabriel Kreiman, John H R Maunsell
May 31, 2016·Scientometrics·Lutz Bornmann, Robin Haunschild

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Citations

Sep 14, 2019·International Journal of Paediatric Dentistry·Daniele Garcovich, Milagros Adobes Martin

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