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Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions

Overview of attention for article published in Water Resources Management, October 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
32 Mendeley
Title
Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions
Published in
Water Resources Management, October 2019
DOI 10.1007/s11269-019-02362-0
Authors

Salam A. Abbas, Yunqing Xuan, Xiaomeng Song

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Doctoral Student 4 13%
Researcher 3 9%
Unspecified 2 6%
Lecturer > Senior Lecturer 1 3%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Engineering 7 22%
Earth and Planetary Sciences 5 16%
Environmental Science 3 9%
Unspecified 2 6%
Agricultural and Biological Sciences 2 6%
Other 4 13%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 January 2020.
All research outputs
#6,910,490
of 23,170,347 outputs
Outputs from Water Resources Management
#127
of 626 outputs
Outputs of similar age
#126,619
of 362,574 outputs
Outputs of similar age from Water Resources Management
#2
of 7 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 626 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 79% of its peers.
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 362,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.