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Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)

Overview of attention for book
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)
Society for Industrial and Applied Mathematics
Attention for Chapter: Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks
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12 news outlets
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13 X users

Citations

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663 Dimensions

Readers on

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79 Mendeley
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Chapter title
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks
Book title
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)
Published in
Proceedings, April 2021
DOI 10.1137/1.9781611976700.69
Book ISBNs
978-1-61197-670-0
Authors

Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael Steinbach, Jordan Read, Vipin Kumar

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 14 18%
Student > Master 12 15%
Other 3 4%
Student > Postgraduate 3 4%
Other 6 8%
Unknown 26 33%
Readers by discipline Count As %
Environmental Science 13 16%
Engineering 12 15%
Earth and Planetary Sciences 8 10%
Computer Science 6 8%
Agricultural and Biological Sciences 2 3%
Other 10 13%
Unknown 28 35%