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Modeling Summer Month Hydrological Drought Probabilities in the United States Using Antecedent Flow Conditions

Overview of attention for article published in Journal of the American Water Resources Association, August 2017
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Modeling Summer Month Hydrological Drought Probabilities in the United States Using Antecedent Flow Conditions
Published in
Journal of the American Water Resources Association, August 2017
DOI 10.1111/1752-1688.12562
Authors

Samuel H. Austin, David L. Nelms

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Bachelor 4 17%
Researcher 3 13%
Student > Doctoral Student 2 9%
Professor 2 9%
Other 5 22%
Unknown 2 9%
Readers by discipline Count As %
Engineering 6 26%
Environmental Science 6 26%
Agricultural and Biological Sciences 2 9%
Psychology 1 4%
Earth and Planetary Sciences 1 4%
Other 2 9%
Unknown 5 22%

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 22 April 2019.
All research outputs
#9,256,359
of 14,692,315 outputs
Outputs from Journal of the American Water Resources Association
#639
of 849 outputs
Outputs of similar age
#156,178
of 268,932 outputs
Outputs of similar age from Journal of the American Water Resources Association
#16
of 21 outputs
Altmetric has tracked 14,692,315 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 849 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% 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 268,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.