U-Index, a dataset and an impact metric for informatics tools and databases View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-03-20

AUTHORS

Alison Callahan, Rainer Winnenburg, Nigam H Shah

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. More... »

PAGES

180043

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sdata.2018.43

DOI

http://dx.doi.org/10.1038/sdata.2018.43

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101624774

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29557976


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