Document Type
Article
Publication Date
2-1-2022
Abstract
In 2018 Bornmann and Haunschild (2018a) introduced a new indicator called the Mantel-Haenszel quotient (MHq) to measure alternative metrics (or altmetrics) of scientometric data. In this article we review the Mantel-Haenszel statistics, point out two errors in the literature, and introduce a new indicator. First, we correct the interpretation of MHq and mention that it is still a meaningful indicator. Second, we correct the variance formula for MHq, which leads to narrower confidence intervals. A simulation study shows the superior performance of our variance estimator and confidence intervals. Since MHq does not match its original description in the literature, we propose a new indicator, the Mantel-Haenszel row risk ratio (MHRR), to meet that need. Interpretation and statistical inference for MHRR are discussed. For both MHRR and MHq, a value greater (less) than one means performance is better (worse) than in the reference set called the world.
Publication Source (Journal or Book title)
Journal of Informetrics
Recommended Citation
Smolinsky, L., Klingenberg, B., & Marx, B. (2022). Interpretation and inference for altmetric indicators arising from sparse data statistics. Journal of Informetrics, 16 (1) https://doi.org/10.1016/j.joi.2022.101250