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Modeling the surface water and groundwater budgets of the US using MODFLOW-OWHM

Overview of attention for article published in Advances in Water Resources, September 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
25 Mendeley
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Title
Modeling the surface water and groundwater budgets of the US using MODFLOW-OWHM
Published in
Advances in Water Resources, September 2020
DOI 10.1016/j.advwatres.2020.103682
Authors

Mustafa H. Alattar, Tara J. Troy, Tess A. Russo, Scott E. Boyce

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Researcher 5 20%
Student > Doctoral Student 3 12%
Student > Ph. D. Student 3 12%
Other 1 4%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Engineering 10 40%
Earth and Planetary Sciences 5 20%
Arts and Humanities 1 4%
Unknown 9 36%

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 28 September 2020.
All research outputs
#11,255,468
of 17,388,379 outputs
Outputs from Advances in Water Resources
#433
of 678 outputs
Outputs of similar age
#192,606
of 317,993 outputs
Outputs of similar age from Advances in Water Resources
#13
of 15 outputs
Altmetric has tracked 17,388,379 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 24th percentile – i.e., 24% 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 317,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.