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Assessing impacts of alternative land use strategies on water partitioning, storage and ages in drought‐sensitive lowland catchments using tracer‐aided ecohydrological modelling

Overview of attention for article published in Hydrological Processes, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 2,110)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
4 news outlets
twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Assessing impacts of alternative land use strategies on water partitioning, storage and ages in drought‐sensitive lowland catchments using tracer‐aided ecohydrological modelling
Published in
Hydrological Processes, April 2024
DOI 10.1002/hyp.15126
Authors

Shuxin Luo, Doerthe Tetzlaff, Aaron Smith, Chris Soulsby

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 27%
Researcher 3 27%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Unknown 3 27%
Readers by discipline Count As %
Unspecified 3 27%
Environmental Science 1 9%
Mathematics 1 9%
Agricultural and Biological Sciences 1 9%
Earth and Planetary Sciences 1 9%
Other 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 05 April 2024.
All research outputs
#1,159,980
of 25,646,963 outputs
Outputs from Hydrological Processes
#45
of 2,110 outputs
Outputs of similar age
#7,868
of 166,931 outputs
Outputs of similar age from Hydrological Processes
#2
of 10 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 166,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.