Data from: U-Index, a dataset and an impact metric for informatics tools and databases
Data files
Feb 22, 2019 version files 68.29 MB
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citation_counts_2000.csv
2.39 MB
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citation_counts_2001.csv
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citation_counts_2002.csv
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citation_counts_2003.csv
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citation_counts_2004.csv
2.38 MB
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citation_counts_2005.csv
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citation_counts_2006.csv
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citation_counts_2007.csv
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citation_counts_2008.csv
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citation_counts_2009.csv
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citation_counts_2010.csv
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citation_counts_2011.csv
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citation_counts_2012.csv
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citation_counts_2013.csv
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citation_counts_2014.csv
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citation_counts_2015.csv
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uindex_2000.csv
1.90 MB
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uindex_2001.csv
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uindex_2002.csv
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uindex_2003.csv
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uindex_2004.csv
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uindex_2005.csv
1.91 MB
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uindex_2006.csv
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uindex_2007.csv
1.93 MB
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uindex_2008.csv
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uindex_2009.csv
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uindex_2010.csv
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uindex_2011.csv
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uindex_2012.csv
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uindex_2013.csv
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uindex_2014.csv
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uindex_2015.csv
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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.