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Data from: U-Index, a dataset and an impact metric for informatics tools and databases

Citation

Callahan, Alison; Winnenburg, Rainer; Shah, Nigam H. (2019), Data from: U-Index, a dataset and an impact metric for informatics tools and databases, Dryad, Dataset, https://doi.org/10.5061/dryad.gj651

Abstract

Measuring the usage of informatics resources such as software tools and databases is essential to quantifying their impact, value and return on investment. We have developed a publicly available dataset of informatics resource publications and their citation network, along with an associated metric (u-Index) to measure informatics resources’ impact over time. Our dataset differentiates the context in which citations occur to distinguish between ‘awareness’ and ‘usage’, and uses a citing universe of open access publications to derive citation counts for quantifying impact. Resources with a high ratio of usage citations to awareness citations are likely to be widely used by others and have a high u-Index score. We have pre-calculated the u-Index for nearly 100,000 informatics resources. We demonstrate how the u-Index can be used to track informatics resource impact over time. The method of calculating the u-Index metric, the pre-computed u-Index values, and the dataset we compiled to calculate the u-Index are publicly available.

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