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Irrigation-Intensive Groundwater Modeling of Complex Aquifer Systems Through Integration of Big Geological Data

Overview of attention for article published in Frontiers in Water, April 2021
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2 X users

Citations

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5 Dimensions

Readers on

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13 Mendeley
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Title
Irrigation-Intensive Groundwater Modeling of Complex Aquifer Systems Through Integration of Big Geological Data
Published in
Frontiers in Water, April 2021
DOI 10.3389/frwa.2021.623476
Authors

Hamid Vahdat-Aboueshagh, Frank T.-C. Tsai, Dependra Bhatta, Krishna P. Paudel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Professor 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 7 54%
Readers by discipline Count As %
Engineering 2 15%
Agricultural and Biological Sciences 2 15%
Environmental Science 1 8%
Chemistry 1 8%
Earth and Planetary Sciences 1 8%
Other 0 0%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2021.
All research outputs
#18,802,560
of 23,302,246 outputs
Outputs from Frontiers in Water
#331
of 543 outputs
Outputs of similar age
#322,285
of 433,932 outputs
Outputs of similar age from Frontiers in Water
#24
of 33 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 433,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.