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Acknowledgements: This work has been funded under award 60NANB21D118 from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce. This work was also supported by an ARC Future Fellowship by the Australian Government through the Australian Research Council (Grant No. FT220100618). The authors would like to thank the WUI-NITY team (Jonathan Wahlqvist, Guillermo Rein, Harry Mitchell, Nikolaos Kalogeropoulos, Steve Gwynne, Hui Xie, Peter Thompson, Max Kinateder, Hamed Mozaffari Maaref, Maxine Berthiaume, Noureddine Benichou, and Amanda Kimball). We also acknowledge the technical panel of the project for their support and guidance: Carole Adam, Amy Christianson, Tom Cova, Lauren Folk, Abishek Gaur, Paolo Intini, Justice Jones, Bryan Klein, Chris Lautenberger, Ruggiero Lovreglio, Jerry McAdams, Ruddy Mell, Elise Miller-Hooks, Cathy Stephens, Steve Taylor, Sandra Vaiciulyte, Xilei Zhao, Rita Fahy, Lucian Deaton, and Michele Steinberg.
This dataset has been sourced from the Performance Measurement System of the California Department of Transportation. The data has been processed, analysed, presented in the paper.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 5 |

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